Robotics in Australian Aged Care: Supporting Independence, Workforce Capacity and Human Connection

Robotics is moving steadily from research environments into everyday health, disability and aged care settings. Across Australia, robotic technologies are beginning to support mobility, rehabilitation, communication, medication management, logistics, environmental safety and social connection.

The strongest opportunity is not to replace workers with machines. It is to use robotics selectively where technology can reduce physical strain, extend independence, improve access or allow skilled staff to spend more time on complex human support.

Australia’s ageing population, workforce pressures, geographic scale and growing preference for home-based care make robotics increasingly relevant. Yet adoption must remain careful and evidence-led.

A robot may help someone stand, carry an object, attend a remote appointment or complete repetitive rehabilitation exercises. It may also malfunction, confuse the person, create privacy concerns or be introduced without adequate workforce preparation.

The wider Australia Social Care and Community Services Knowledge Hub explores how technology, workforce innovation, housing and governance can combine to support safer and more sustainable care systems.

Robotics should strengthen human capability, not weaken human relationships. The key question is not whether a task can be automated, but whether automation improves independence, dignity, safety, continuity and quality of life.

What Does Robotics Mean in Aged Care?

Robotics in aged care includes machines that can sense, move, communicate, assist or perform defined tasks within a care environment.

These technologies may include:

  • mobility-assistance robots;
  • robotic exoskeletons;
  • lifting and transfer devices;
  • rehabilitation robots;
  • socially assistive robots;
  • telepresence robots;
  • medication-delivery robots;
  • meal and linen transport robots;
  • cleaning robots;
  • service robots;
  • companion robots;
  • robotic feeding assistance;
  • smart robotic beds;
  • robotic arms and gripping devices;
  • remote-presence platforms;
  • disinfection robots; and
  • autonomous monitoring devices.

Some systems are highly autonomous. Others remain directly controlled by a worker or older person.

The degree of autonomy matters because it influences:

  • safety;
  • consent;
  • supervision;
  • accountability;
  • training;
  • maintenance;
  • privacy;
  • incident response; and
  • the person’s level of control.

Robotics as Part of a Wider Care Model

Robotics should not be treated as a separate technical programme disconnected from care planning.

It may form part of a wider model involving:

  • home support;
  • occupational therapy;
  • physiotherapy;
  • nursing;
  • rehabilitation;
  • assistive technology;
  • smart-home systems;
  • telehealth;
  • family support;
  • housing adaptations;
  • community participation; and
  • workforce redesign.

A robotic device may be technically impressive but still provide little benefit if it is poorly integrated with the person’s goals, home environment or daily routines.

Starting With the Person’s Goals

Assessment should begin with what the older person wants to achieve.

Relevant goals may include:

  • standing without assistance;
  • walking further;
  • continuing to prepare meals;
  • getting in and out of bed safely;
  • reducing dependence during personal care;
  • attending appointments remotely;
  • maintaining social contact;
  • continuing rehabilitation at home;
  • avoiding injury to a family carer;
  • reducing fear of falling;
  • remaining in the current home; or
  • preserving privacy during daily routines.

The device should be selected because it supports a specific outcome, not because it is new or available.

Human-Centred Robotics

Human-centred robotics places the person’s experience before technical performance.

This means considering:

  • comfort;
  • dignity;
  • appearance;
  • noise;
  • speed of movement;
  • ease of control;
  • cognitive accessibility;
  • language;
  • cultural expectations;
  • physical environment;
  • privacy;
  • fear or anxiety;
  • personal preferences; and
  • the effect on relationships.

A robot that performs a task efficiently may still be unsuitable if the person finds it frightening, intrusive or difficult to understand.

Supporting Mobility

Mobility-related robotics may help older people who experience weakness, neurological impairment, reduced balance or recovery following illness or injury.

Applications may include:

  • robotic walking aids;
  • powered exoskeletons;
  • balance-support systems;
  • robotic wheelchairs;
  • sit-to-stand assistance;
  • powered transfer systems;
  • gait-training equipment;
  • robotic limb support;
  • smart mobility frames; and
  • obstacle-detection systems.

Potential benefits include:

  • greater independence;
  • increased walking distance;
  • improved confidence;
  • more frequent movement;
  • reduced physical demand on workers;
  • support during rehabilitation;
  • reduced risk during transfers;
  • delayed functional decline; and
  • greater participation in community life.

Mobility robotics should be used alongside appropriate assessment of strength, balance, cognition, fatigue, pain, vision and environmental risk.

Robotic Exoskeletons

Robotic exoskeletons are wearable systems that support or amplify movement.

They may assist with:

  • standing;
  • walking;
  • gait rehabilitation;
  • lower-limb movement;
  • postural support;
  • repetitive exercise; and
  • recovery following neurological injury.

Exoskeletons are unlikely to be suitable for everyone.

Assessment should consider:

  • bone health;
  • joint stability;
  • skin integrity;
  • cardiovascular tolerance;
  • cognitive understanding;
  • ability to follow instructions;
  • muscle tone;
  • pain;
  • fatigue;
  • height and weight compatibility;
  • supervision requirements; and
  • emergency release procedures.

Workers supporting exoskeleton use require specific practical training and competence assessment.

Transfer and Lifting Robotics

Manual handling remains a significant source of injury in aged care.

Robotic or powered lifting technologies may support:

  • bed-to-chair transfers;
  • toileting;
  • repositioning;
  • sit-to-stand movement;
  • floor recovery;
  • bathing;
  • assisted walking; and
  • movement of equipment.

Potential advantages include:

  • reduced musculoskeletal injury;
  • more consistent transfer technique;
  • reduced need for multiple workers;
  • greater comfort;
  • improved privacy;
  • fewer delayed transfers;
  • reduced reliance on agency staff; and
  • greater independence for some people.

However, technology does not remove the need for professional judgement.

Workers must still assess:

  • pain;
  • fatigue;
  • skin risk;
  • cognition;
  • distress;
  • weight-bearing ability;
  • equipment compatibility;
  • space;
  • slings or supports;
  • obstacles;
  • device condition; and
  • changes in the person’s health.

Operational Scenario One: Reducing Injury During Transfers

Context: A home-care client requires increasing support to transfer from bed to a wheelchair. Two workers are currently needed, and the person has begun cancelling morning visits because transfers feel slow and undignified.

Step 1 – Reassessing the need: An occupational therapist reviews the person’s movement, pain, skin integrity, room layout, current equipment and transfer preferences.

Step 2 – Trialling robotic assistance: A powered transfer device is introduced through a supervised trial, allowing the person to participate actively while reducing physical demand on workers.

Step 3 – Training the team: All regular workers complete practical training, demonstrate competence and learn the manual fallback process.

Step 4 – Monitoring the outcome: The provider reviews transfer time, discomfort, cancelled visits, worker strain, equipment faults and the person’s confidence.

Step 5 – Adjusting support: Visit duration and staffing are changed only after evidence shows the technology is safe, reliable and preferred by the person.

The device improves care because it strengthens dignity and participation while reducing injury risk. It is not used simply to reduce staffing.

Rehabilitation Robotics

Rehabilitation robots can support repetitive, controlled exercise after illness, surgery, stroke or functional decline.

They may assist with:

  • gait training;
  • upper-limb movement;
  • hand function;
  • balance;
  • strength;
  • range of movement;
  • coordination;
  • postural control;
  • repetition of therapeutic exercises; and
  • measurement of progress.

Potential advantages include:

  • high levels of repetition;
  • consistent movement support;
  • real-time feedback;
  • objective progress data;
  • personalised difficulty levels;
  • greater therapy intensity;
  • support between face-to-face sessions; and
  • increased motivation for some people.

Robotic rehabilitation should remain clinically guided.

Devices may measure movement accurately, but they cannot fully assess pain, emotional response, fear, motivation, fatigue or changing health conditions without human interpretation.

Robotics in Home-Based Rehabilitation

Portable systems may allow rehabilitation to continue in the person’s own home.

This may help people who face:

  • transport barriers;
  • rural distance;
  • fatigue;
  • limited clinic availability;
  • mobility restrictions;
  • infection risk;
  • carer responsibilities; or
  • difficulty maintaining exercise between appointments.

Home-based robotic rehabilitation requires:

  • safe installation;
  • clear instructions;
  • remote professional oversight;
  • emergency-stop functions;
  • maintenance support;
  • progress review;
  • appropriate connectivity;
  • space for safe use;
  • carer involvement where agreed; and
  • a clear process for reporting pain or difficulty.

Robotic Feeding Assistance

Robotic feeding devices may support people who have limited arm or hand movement but retain the ability to make choices about eating.

These systems may help the person:

  • select food;
  • control timing;
  • adjust pace;
  • reduce dependence on another person;
  • eat with greater privacy;
  • participate more fully in shared meals; and
  • maintain autonomy.

Assessment should address:

  • swallowing risk;
  • positioning;
  • vision;
  • cognition;
  • hand or voice control;
  • food consistency;
  • fatigue;
  • device cleaning;
  • emergency stopping;
  • allergy management;
  • mealtime preferences; and
  • support where the device cannot be used.

Robotic feeding should never be introduced solely to remove human assistance from mealtimes.

Socially Assistive Robots

Socially assistive robots are designed to interact, prompt, encourage or provide companionship rather than complete primarily physical tasks.

They may be used for:

  • conversation;
  • memory prompts;
  • games;
  • music;
  • exercise encouragement;
  • medication reminders;
  • orientation;
  • storytelling;
  • video communication;
  • emotional reassurance;
  • group activities; and
  • supporting daily routines.

Some people may enjoy interacting with a robot. Others may find the experience artificial, patronising or unsettling.

Providers should not assume that older people will either welcome or reject robotics as a group. Preference must be assessed individually.

Robotic Companion Animals

Robotic pets may respond to touch, sound or movement and are sometimes used to support people living with dementia, loneliness or anxiety.

Possible benefits may include:

  • comfort;
  • sensory stimulation;
  • conversation prompts;
  • reduced distress;
  • routine;
  • reminiscence;
  • social interaction;
  • emotional expression; and
  • engagement where live animals are unsuitable.

Potential concerns include:

  • infantilisation;
  • distress if the person believes the robot is alive;
  • replacement of human contact;
  • noise or repetitive behaviour;
  • infection-control issues if shared;
  • battery failure;
  • cultural unsuitability;
  • cost;
  • unequal access; and
  • use without meaningful consent.

The measure of success should be the person’s actual response, not the novelty of the device.

Robotics and Dementia Support

Robotics may support some people living with dementia through:

  • simple reminders;
  • familiar music;
  • orientation prompts;
  • guided activities;
  • social engagement;
  • video calls;
  • exercise support;
  • reassurance;
  • structured routines; and
  • connection with family.

Design should consider:

  • recognition;
  • language;
  • tone of voice;
  • movement speed;
  • facial appearance;
  • lighting;
  • sound;
  • life history;
  • cultural familiarity;
  • distress triggers;
  • changes in cognition; and
  • the person’s ability to stop the interaction.

A device that once provided comfort may later cause confusion. Ongoing observation and review are essential.

Human Connection Must Remain Central

Robotics can support interaction but cannot replicate all dimensions of human relationship.

Human connection includes:

  • empathy;
  • shared history;
  • touch;
  • humour;
  • moral judgement;
  • cultural understanding;
  • reassurance during uncertainty;
  • recognition of subtle emotional change;
  • advocacy;
  • companionship; and
  • mutual trust.

Providers should monitor whether robotics is:

  • increasing social participation;
  • supporting family contact;
  • freeing staff for relational care;
  • reducing loneliness;
  • creating new interests; or
  • quietly replacing valued human time.

A robot that occupies someone for twenty minutes may appear efficient, but the outcome is poor if it replaces the only meaningful conversation they would otherwise have that day.

Telepresence Robots

Telepresence robots allow a remote person to move virtually through a care environment using a mobile video platform.

They may support:

  • remote clinical review;
  • family contact;
  • specialist consultation;
  • interpreting support;
  • staff supervision;
  • multidisciplinary meetings;
  • virtual cultural or religious participation;
  • remote facility tours;
  • education;
  • case review; and
  • communication during isolation or outbreaks.

Telepresence may be particularly useful in rural and remote areas where specialist access is limited.

However, safe use requires clarity about:

  • who controls the device;
  • which areas it may enter;
  • how consent is obtained;
  • how other residents’ privacy is protected;
  • whether conversations can be overheard;
  • how identity is verified;
  • how recordings are prevented;
  • what happens if the device collides with someone;
  • how access is ended; and
  • how remote users are supervised.

Rural and Remote Opportunities

Australia’s geographic scale creates significant barriers to specialist and allied health access.

Robotics may support rural and remote care through:

  • telepresence consultation;
  • remote rehabilitation;
  • specialist assessment;
  • equipment monitoring;
  • staff education;
  • remote technical support;
  • medication delivery within facilities;
  • connection with distant family;
  • reduced travel; and
  • continuity during extreme weather.

Implementation must address:

  • connectivity;
  • power reliability;
  • technical support;
  • replacement parts;
  • transport costs;
  • local workforce competence;
  • emergency fallback;
  • environmental conditions;
  • community trust; and
  • cultural safety.

A sophisticated robot that cannot be repaired locally may be less useful than a simpler device with dependable regional support.

Logistics Robots in Residential Care

Service and logistics robots may complete repetitive non-clinical tasks such as:

  • transporting meals;
  • delivering linen;
  • moving supplies;
  • collecting waste;
  • transporting medication;
  • moving equipment;
  • supporting stock replenishment;
  • delivering documents;
  • cleaning floors; and
  • disinfecting defined areas.

Potential benefits include:

  • less time spent walking between departments;
  • reduced manual handling;
  • more predictable delivery;
  • improved stock movement;
  • reduced interruption of care;
  • greater workforce availability for direct support;
  • improved infection-control consistency; and
  • better operational data.

Robotics should be introduced only after workflow analysis.

Automating a poorly designed process may simply make inefficiency more expensive.

Designing Safe Robot Movement

Mobile robots operating around older people must account for complex environments.

Risks may include:

  • collisions;
  • blocked corridors;
  • falls;
  • poor visibility;
  • unexpected movement;
  • wheelchair interaction;
  • pets;
  • uneven flooring;
  • lifts;
  • fire doors;
  • crowded communal areas;
  • people with visual impairment;
  • people who may approach or touch the robot; and
  • emergency evacuation.

Controls may include:

  • speed limits;
  • proximity sensors;
  • visible warning lights;
  • audible alerts;
  • defined routes;
  • restricted zones;
  • manual override;
  • emergency stopping;
  • supervised commissioning;
  • incident logging;
  • routine maintenance; and
  • periodic route review.

Cleaning and Disinfection Robots

Robotic cleaning systems may support floor cleaning, defined-surface cleaning or ultraviolet disinfection.

They may provide:

  • consistent cleaning cycles;
  • reduced repetitive work;
  • data on completed areas;
  • support during outbreaks;
  • cleaning outside peak activity times;
  • reduced worker exposure in some environments; and
  • greater visibility of task completion.

These systems do not remove the need for environmental-service workers.

Human staff remain necessary for:

  • complex surfaces;
  • spill response;
  • infection-control judgement;
  • personal items;
  • occupied spaces;
  • equipment cleaning;
  • bathrooms;
  • quality checks;
  • exception handling; and
  • situations where residents are distressed by the device.

Medication and Supply Robots

Robotic systems may support medication and supply workflows by:

  • dispensing medicines;
  • transporting sealed medication;
  • managing stock;
  • tracking expiry dates;
  • reducing selection errors;
  • delivering urgent supplies;
  • recording chain of custody;
  • supporting pharmacy workflows; and
  • alerting staff to shortages.

Medication robotics requires particularly strong governance because errors may cause direct harm.

Providers should define:

  • clinical responsibility;
  • pharmacy oversight;
  • identity verification;
  • authorisation;
  • manual checks;
  • exception handling;
  • controlled-drug arrangements;
  • temperature control;
  • downtime procedures;
  • software validation;
  • audit trails; and
  • incident escalation.

Robotics and Workforce Capacity

Workforce pressure is one of the strongest reasons aged care organisations are exploring robotics.

Potential workforce benefits include:

  • reducing repetitive physical tasks;
  • lowering manual-handling strain;
  • supporting safer transfers;
  • reducing time spent transporting supplies;
  • extending access to specialist support;
  • supporting rehabilitation between appointments;
  • reducing unnecessary travel;
  • improving consistency in routine processes;
  • supporting staff in rural and remote services; and
  • creating more time for relational care.

These benefits should not be assumed.

Robotics may also create new work through:

  • equipment setup;
  • charging;
  • cleaning;
  • maintenance;
  • troubleshooting;
  • alert management;
  • data review;
  • supplier coordination;
  • incident investigation;
  • staff training;
  • documentation; and
  • manual fallback during system failure.

Workforce planning should therefore examine the total operational impact rather than only the tasks the robot appears to remove.

Redesigning Roles Rather Than Removing Them

The most sustainable use of robotics is likely to involve role redesign.

For example:

  • care workers may spend less time moving equipment and more time supporting personal goals;
  • physiotherapists may supervise more frequent home-based rehabilitation remotely;
  • nurses may review exception alerts rather than complete routine checks manually;
  • environmental staff may focus on complex cleaning while robots complete predictable floor routes;
  • allied health professionals may use robotic data to refine treatment plans;
  • technical coordinators may support device reliability across several services; and
  • team leaders may use robotic workflow information to identify bottlenecks and risk.

Redesign should be undertaken with workers, not imposed on them.

Staff who understand daily practice are often best placed to identify where robotics may help, where it may create risk and which processes should remain human-led.

Worker Acceptance and Trust

Workers may be enthusiastic, cautious or resistant to robotics for different reasons.

Concerns may include:

  • fear of job loss;
  • reduced professional autonomy;
  • increased surveillance;
  • unrealistic productivity expectations;
  • equipment unreliability;
  • additional documentation;
  • poor consultation;
  • insufficient training;
  • risk of being blamed for technical failure;
  • reduced human contact;
  • loss of familiar routines; and
  • technology being used primarily to cut costs.

Trust is more likely where organisations are transparent about:

  • why robotics is being introduced;
  • which tasks may change;
  • which tasks will remain human-led;
  • how workforce impacts will be assessed;
  • how workers can influence design;
  • what training will be provided;
  • how performance data will be used;
  • what happens when equipment fails;
  • how incidents will be investigated; and
  • how concerns can be raised safely.

Training and Competence

Training should be matched to the risk and complexity of each robotic system.

Workers may need competence in:

  • safe startup and shutdown;
  • device inspection;
  • person identification;
  • consent confirmation;
  • positioning;
  • manual override;
  • emergency stopping;
  • fault recognition;
  • battery management;
  • cleaning and infection control;
  • recording use;
  • incident reporting;
  • manual fallback procedures;
  • privacy protection;
  • responding to distress;
  • recognising when the device is no longer suitable; and
  • escalating clinical concerns.

Competence should be demonstrated in practice rather than assumed after completion of online training.

Where the device is high risk, organisations may need:

  • authorised-user lists;
  • supervised practice;
  • formal competency assessment;
  • refresher training;
  • incident-triggered reassessment;
  • device-specific certification; and
  • periodic observation of practice.

Robotics and Occupational Health

Robotics may reduce some workplace injuries but create others.

Potential occupational risks include:

  • collision;
  • crush injury;
  • electrical fault;
  • poor posture while operating controls;
  • trip hazards from charging equipment;
  • overreliance on powered assistance;
  • incorrect manual intervention;
  • stress caused by repeated faults;
  • pressure to meet unrealistic productivity targets;
  • fatigue from monitoring multiple systems; and
  • injury during maintenance or recovery of a disabled robot.

Work health and safety assessments should include the interaction between:

  • the robot;
  • the worker;
  • the older person;
  • the physical environment;
  • other equipment;
  • visitors;
  • pets;
  • emergency procedures; and
  • workload expectations.

Operational Scenario Two: A Logistics Robot Disrupts Care

Context: A residential aged care service introduces a robot to deliver linen and supplies between storage areas and household units. The robot frequently stops near a busy dining area, blocks access and causes several residents to become anxious.

Step 1 – Pausing unsafe use: The service suspends the affected route rather than asking staff to work around the problem.

Step 2 – Reviewing the environment: Workers, residents and the supplier map congestion points, furniture placement, meal times, mobility-device use and resident responses.

Step 3 – Redesigning the route: The delivery schedule is moved outside peak dining times, speed is reduced and an alternative corridor is used.

Step 4 – Supporting residents: Staff explain the robot’s purpose, offer demonstrations and identify people who prefer not to encounter it.

Step 5 – Measuring impact: The service reviews incidents, delays, resident distress, staff time saved and whether the revised process produces a genuine benefit.

The problem is resolved through service redesign rather than assuming the technology should dictate how people use the environment.

Consent and Choice

Consent for robotic support should be informed, specific and capable of review.

The older person should understand:

  • what the robot does;
  • what it cannot do;
  • how it moves or interacts;
  • whether it collects information;
  • who can control it;
  • what risks are known;
  • what alternatives are available;
  • how to stop an interaction;
  • what happens during failure;
  • how human support remains available; and
  • how consent can be withdrawn.

Consent should not be treated as permanent simply because the person agreed during an initial trial.

Preferences may change because of:

  • pain;
  • fatigue;
  • cognitive change;
  • distress;
  • device behaviour;
  • changes in the home;
  • family concerns;
  • new risks;
  • loss of confidence; or
  • changes in the person’s goals.

Supported Decision-Making

Some older people may require support to understand robotic technology.

Useful approaches include:

  • plain-language explanations;
  • live demonstrations;
  • short trial sessions;
  • pictures or videos;
  • preferred-language communication;
  • involvement of trusted supporters;
  • showing how to stop the device;
  • comparing robotic and non-robotic options;
  • allowing time to observe before deciding;
  • checking understanding over several conversations; and
  • recording preferences in accessible formats.

The person should not be judged incapable merely because they cannot explain technical details.

The relevant question is whether they can understand the practical purpose, likely effect, key risks and available alternatives.

Privacy and Data Collection

Many robots collect information to navigate, communicate or perform tasks.

This may include:

  • video;
  • audio;
  • location;
  • movement data;
  • facial images;
  • voice recordings;
  • health measurements;
  • activity patterns;
  • device-use history;
  • staff interaction data;
  • environmental maps; and
  • remote access logs.

Providers should establish:

  • which data is necessary;
  • whether recording can be disabled;
  • where data is stored;
  • who can access it;
  • how long it is retained;
  • whether suppliers use it for product development;
  • whether information leaves Australia;
  • how remote access is controlled;
  • how recordings are deleted;
  • how bystanders’ privacy is protected; and
  • what happens when the contract ends.

A navigation camera should not automatically become a continuous surveillance system.

Robotics in Shared Environments

Residential aged care creates particular privacy challenges because a robot may encounter many people while supporting one person or completing one task.

Risks may arise where a robot:

  • enters bedrooms;
  • records conversations;
  • captures visitors;
  • moves through personal-care areas;
  • displays names or medication information;
  • connects a remote user without warning;
  • stores facial images;
  • uses shared charging locations;
  • allows residents to access another person’s information; or
  • continues recording when not actively in use.

Controls may include:

  • privacy zones;
  • restricted routes;
  • visible recording indicators;
  • default camera-off settings;
  • staff authorisation;
  • resident-specific permissions;
  • no-entry areas;
  • automatic data deletion;
  • secure screens; and
  • clear rules for remote users.

Cyber Security

Connected robots may create cyber-security risks because they combine software, sensors, remote access and physical movement.

A compromised robot could potentially:

  • expose personal information;
  • allow unauthorised video access;
  • change medication or delivery workflows;
  • disrupt rehabilitation settings;
  • move into unsafe areas;
  • disable safety functions;
  • stop operating during care;
  • provide attackers with network access;
  • alter audit trails; or
  • create widespread service disruption.

Security controls should include:

  • unique credentials;
  • multi-factor authentication;
  • encrypted communication;
  • role-based access;
  • secure software updates;
  • supplier-access controls;
  • network segmentation;
  • vulnerability management;
  • device inventories;
  • incident logging;
  • remote shutdown capability;
  • backup configuration;
  • secure disposal; and
  • tested recovery arrangements.

Physical Safety

Robots that move, lift, support or touch people require rigorous safety assurance.

Potential hazards include:

  • unexpected movement;
  • pinching or crushing;
  • incorrect force;
  • instability;
  • failure during transfer;
  • battery overheating;
  • loss of balance;
  • software error;
  • collision;
  • inaccurate sensing;
  • mechanical wear;
  • unsafe attachment;
  • incorrect user selection;
  • poor fit; and
  • delay in emergency release.

Controls should include:

  • pre-use checks;
  • weight and size limits;
  • environmental assessment;
  • device-specific care plans;
  • emergency-stop controls;
  • manual release;
  • maintenance schedules;
  • fault reporting;
  • competence requirements;
  • supervision rules;
  • incident review;
  • manufacturer guidance;
  • clear exclusion criteria; and
  • safe fallback support.

Reliability and Downtime

Robotic systems may fail because of:

  • flat batteries;
  • connectivity loss;
  • software updates;
  • sensor obstruction;
  • mechanical damage;
  • overheating;
  • network outage;
  • incorrect calibration;
  • supplier-platform failure;
  • lost accessories;
  • environmental changes;
  • user error; or
  • unavailable replacement parts.

Providers should define:

  • how failure is identified;
  • who is notified;
  • how quickly repair is expected;
  • whether replacement equipment is available;
  • which tasks revert to manual processes;
  • how staffing is adjusted;
  • how people are informed;
  • how urgent clinical needs are protected;
  • how repeated faults are escalated; and
  • when the device should be withdrawn permanently.

A robotic system should never become the only available route for an essential care task unless a safe alternative is immediately available.

Maintenance and Asset Management

Robotics requires stronger asset management than many organisations initially expect.

Records should include:

  • device identification;
  • location;
  • assigned user or service;
  • purchase date;
  • warranty;
  • software version;
  • maintenance history;
  • repair history;
  • battery condition;
  • accessories;
  • authorised users;
  • training status;
  • known faults;
  • supplier contacts;
  • end-of-life date; and
  • disposal method.

Preventive maintenance should be based on manufacturer guidance, intensity of use, incident history and the consequence of failure.

Cleaning and Infection Prevention

Robots may move between rooms, people and service areas, creating infection-control risks.

Cleaning plans should identify:

  • which surfaces are touched;
  • which parts contact the person;
  • which products are safe to use;
  • how electronics are protected;
  • cleaning frequency;
  • responsibility between uses;
  • requirements during outbreaks;
  • how shared accessories are managed;
  • how contamination is recorded;
  • what happens when cleaning damages the device; and
  • how difficult-to-clean components are assessed.

Robotic pets, rehabilitation handles, control panels, straps and feeding components may require especially careful hygiene controls.

Accessibility and Inclusive Design

Robotic systems should be usable by people with different physical, sensory, cognitive and communication needs.

Inclusive design may require:

  • large controls;
  • high-contrast displays;
  • voice operation;
  • tactile buttons;
  • captioning;
  • adjustable sound;
  • simple menus;
  • preferred-language options;
  • switch access;
  • eye-gaze control;
  • compatibility with mobility equipment;
  • slow movement settings;
  • clear visual cues;
  • customisable prompts; and
  • alternative non-digital controls.

Accessibility should be tested with real users in real environments.

Cultural Safety

Robotics should not be designed around a single assumption about ageing, family, communication or care.

Cultural considerations may include:

  • preferred language;
  • family and kinship roles;
  • gender preferences;
  • religious practice;
  • attitudes towards machines;
  • expectations about human touch;
  • privacy;
  • communication style;
  • historical trust in institutions;
  • connection to community;
  • appearance and voice of the robot; and
  • the meaning attached to companionship.

For Aboriginal and Torres Strait Islander communities, implementation should involve genuine partnership with community-controlled organisations and consideration of data governance, local infrastructure, community priorities and connection to Country.

Robotics and Older People From Culturally and Linguistically Diverse Communities

Robotic systems may support access where they provide:

  • multilingual prompts;
  • interpreting links;
  • culturally familiar music;
  • family connection across distance;
  • reminders aligned with religious routines;
  • accessible health information;
  • voice options that are easier to understand; and
  • community-specific activities.

However, translation alone does not guarantee cultural suitability.

Providers should test whether language, tone, gestures, imagery and interaction patterns feel respectful and understandable.

Children, Visitors and Pets

Robots operating in homes or shared facilities may interact with people and animals who were not part of the original assessment.

Risks may include:

  • children touching controls;
  • visitors blocking sensors;
  • pets chasing or colliding with devices;
  • family members changing settings;
  • equipment being moved;
  • photographs or recordings being taken;
  • charging cables creating trip hazards; and
  • remote users entering unexpectedly.

Risk assessments should reflect the actual household or service environment rather than an idealised demonstration space.

Ethical Boundaries

Robotics raises ethical questions that cannot be resolved through technical testing alone.

Organisations should consider:

  • When does assistance become control?
  • When does companionship become deception?
  • When does monitoring become surveillance?
  • When does efficiency reduce dignity?
  • When does automation weaken professional judgement?
  • When does a cost-saving measure reduce human contact?
  • Who is accountable when autonomous behaviour causes harm?
  • How much uncertainty is acceptable?
  • Should a robot simulate emotional understanding?
  • Can a person meaningfully refuse when no alternative is offered?

Ethical review should include older people, frontline workers, clinicians, governance leads and consumer representatives.

Robotics and Emotional Deception

Some social robots are designed to appear caring, responsive or emotionally aware.

This may be comforting for some people, but providers should avoid misleading users about what the system is.

Concerns may arise where a robot:

  • claims to understand feelings it cannot understand;
  • encourages emotional dependence;
  • creates the impression of human monitoring when none is occurring;
  • withholds that responses are generated automatically;
  • collects intimate information through apparently social interaction; or
  • replaces contact with people who have genuine responsibilities of care.

Transparency should be proportionate to the person’s needs and the nature of the interaction.

Procurement and Evidence

Robotics procurement should focus on the problem being solved and the evidence available in comparable care settings.

Questions should include:

  • What outcome is expected?
  • What evidence supports the device?
  • Which population was included in testing?
  • What are the known risks?
  • What training is required?
  • What level of supervision is necessary?
  • How often does the device fail?
  • What maintenance is needed?
  • How quickly can parts be replaced?
  • Can the device operate offline?
  • What information does it collect?
  • Can data be exported?
  • How are software updates managed?
  • What cyber-security assurance is available?
  • What happens if the supplier leaves the market?
  • What is the total lifetime cost?
  • Can the technology be trialled before purchase?
  • How easy is it to stop using the system?

Novelty should not be mistaken for effectiveness.

Total Cost of Ownership

The full cost of robotics may include:

  • purchase or lease;
  • installation;
  • building modification;
  • connectivity;
  • software licences;
  • subscriptions;
  • training;
  • technical support;
  • maintenance;
  • replacement parts;
  • batteries;
  • insurance;
  • cyber-security assessment;
  • cleaning equipment;
  • storage;
  • charging infrastructure;
  • staff time;
  • data integration;
  • incident management;
  • decommissioning; and
  • safe disposal.

Cost-benefit analysis should also include outcomes that are harder to monetise, such as dignity, independence, reduced pain, worker confidence and preserved social connection.

Governance for Robotics in Aged Care

Robotics sits across care quality, clinical practice, workforce safety, procurement, information governance, cyber security, maintenance, safeguarding and business continuity.

Governance arrangements should therefore define:

  • who approves robotic technologies;
  • who assesses individual suitability;
  • who obtains and reviews consent;
  • who authorises workers to use the device;
  • who owns clinical and operational decisions;
  • who monitors equipment performance;
  • who manages suppliers;
  • who responds to faults;
  • who reviews incidents and near misses;
  • who controls remote access;
  • who decides when a device should be withdrawn; and
  • how older people, families and workers can raise concerns.

Accountability should remain clear where the technology supplier, care provider, health professional, housing organisation and family all play different roles.

A supplier may maintain the equipment, but the provider remains responsible for ensuring that the technology is used safely within the care model.

Risk Classification

Not all robotic systems require the same level of oversight.

A useful classification should consider:

  • whether the robot touches or lifts a person;
  • whether it moves autonomously;
  • whether it influences medication or clinical decisions;
  • whether failure could cause immediate harm;
  • whether it collects sensitive information;
  • whether it is operated remotely;
  • whether the person can stop it independently;
  • whether it operates in shared spaces;
  • whether it depends on internet connectivity; and
  • whether a safe manual alternative remains available.

Higher-risk technologies may require:

  • multidisciplinary approval;
  • formal clinical assessment;
  • documented exclusion criteria;
  • enhanced training;
  • competency sign-off;
  • more frequent maintenance;
  • specific incident thresholds;
  • continuous performance monitoring;
  • supplier escalation arrangements; and
  • board-level assurance.

Robotics Risk Registers

Organisations should include robotics within existing corporate and service-level risk systems.

Risk registers may address:

  • physical injury;
  • incorrect operation;
  • device failure;
  • clinical deterioration during use;
  • cyber compromise;
  • privacy breaches;
  • supplier insolvency;
  • loss of connectivity;
  • unavailable parts;
  • worker competence;
  • poor consent practice;
  • unequal access;
  • emotional distress;
  • reduction in human contact;
  • unsafe productivity expectations;
  • weak incident reporting;
  • lack of manual fallback; and
  • continued use beyond the device’s safe life.

Risks should be linked to named owners, controls, indicators, review dates and escalation thresholds.

Board and Executive Assurance

Boards and executive teams should understand whether robotics is improving care or merely increasing technical complexity.

Useful assurance questions include:

  • Which outcomes is each robotic programme intended to improve?
  • How were older people and workers involved in design?
  • What evidence supports the technology?
  • Which groups may be excluded or disadvantaged?
  • Which robots can physically affect a person?
  • How many workers are currently competent to use them?
  • How often do devices fail?
  • What incidents and near misses have occurred?
  • How quickly are faults resolved?
  • What happens when the system is unavailable?
  • How is consent reviewed?
  • What information is collected?
  • How is remote supplier access controlled?
  • Has robotics reduced or increased workforce demand?
  • Has human contact changed?
  • Are expected benefits being realised?
  • What supplier dependencies exist?
  • What are the full lifetime costs?
  • Which improvements remain overdue?

The Governance Maturity Assessment can help organisations examine whether leadership oversight, risk ownership, evidence scrutiny, supplier governance and accountability are strong enough to support responsible robotics adoption.

Performance Dashboards

Robotics assurance should combine technical, workforce and person-centred measures.

Potential dashboard indicators include:

  • number of active devices;
  • percentage currently operational;
  • fault frequency;
  • average repair time;
  • battery or charging failures;
  • software-update compliance;
  • use by authorised workers;
  • training completion;
  • competency expiry;
  • incidents and near misses;
  • emergency-stop events;
  • complaints;
  • withdrawn consent;
  • device abandonment;
  • hours of worker time redirected;
  • manual-handling injuries;
  • changes in mobility or independence;
  • rehabilitation participation;
  • social-contact outcomes;
  • privacy events;
  • cyber alerts;
  • supplier-service performance; and
  • equity of access.

The Quality Dashboard Builder can support a balanced view of technology reliability, workforce impact, safety, person-centred outcomes and governance performance.

Leading and Lagging Indicators

Lagging indicators show harm or failure after it has occurred.

Examples include:

  • injuries;
  • falls;
  • failed transfers;
  • privacy breaches;
  • complaints;
  • missed medication;
  • equipment damage;
  • worker injury;
  • service disruption; and
  • unplanned withdrawal of a device.

Leading indicators may identify growing risk earlier.

Examples include:

  • increasing fault reports;
  • declining battery performance;
  • repeated manual overrides;
  • rising worker workarounds;
  • overdue maintenance;
  • missed competency reassessments;
  • increasing user anxiety;
  • reduced device use;
  • supplier response delays;
  • software updates not completed;
  • increasing false alerts;
  • outdated consent records;
  • staffing models becoming dependent on one device; and
  • rising reliance on temporary replacement equipment.

Strong assurance uses leading indicators to intervene before technical drift causes harm.

Incident Reporting and Investigation

Robotics incidents should be reported even where no injury occurs.

Examples may include:

  • unexpected movement;
  • collision;
  • near falls;
  • failed emergency stopping;
  • loss of control;
  • incorrect user identification;
  • remote access by an unauthorised person;
  • recording without consent;
  • failure during transfer;
  • incorrect medication delivery;
  • distress caused by interaction;
  • worker injury while recovering a device;
  • software malfunction;
  • overheating;
  • loss of essential data;
  • repeated charging failure; and
  • failure of the manual fallback process.

Investigations should examine:

  • device design;
  • maintenance;
  • software;
  • training;
  • competence;
  • care planning;
  • environment;
  • consent;
  • workload;
  • supplier performance;
  • communication;
  • supervision;
  • procurement decisions; and
  • wider system conditions.

Investigations should avoid automatically blaming the worker or older person where the technology, workflow or organisational controls contributed to the event.

Operational Scenario Three: Robotic Rehabilitation Failure at Home

Context: An older person uses a home-based robotic arm-rehabilitation device following a stroke. During an unsupervised session, the device becomes unresponsive while holding the person’s arm in an uncomfortable position.

Step 1 – Activating the fallback: The person uses the accessible emergency-release control and contacts the provider through the agreed support route.

Step 2 – Protecting immediate safety: A trained worker attends, checks for pain or injury and ensures that the device remains isolated from use.

Step 3 – Coordinating clinical review: The physiotherapist assesses the person, reviews the exercise settings and pauses robotic rehabilitation until the cause is understood.

Step 4 – Investigating the failure: The provider and supplier examine software logs, maintenance records, connectivity, calibration and whether the emergency instructions were sufficiently clear.

Step 5 – Strengthening the model: The service introduces an earlier maintenance threshold, improves remote fault detection and reassesses which exercises can be completed without live supervision.

The outcome is not simply a repaired device. The wider care, training, maintenance and escalation system is strengthened.

Emergency Planning

Robotics should be included in emergency and continuity arrangements.

Plans should address:

  • power outages;
  • internet failure;
  • fire;
  • flood;
  • bushfire;
  • extreme heat;
  • cyber attack;
  • supplier outage;
  • evacuation;
  • building access restrictions;
  • loss of charging facilities;
  • staff shortages;
  • unavailable replacement parts; and
  • simultaneous failure of several devices.

Providers should know:

  • which essential tasks depend on robotics;
  • which people would be affected first;
  • how long batteries will last;
  • where manual equipment is stored;
  • which staff can operate fallback systems;
  • how additional workers will be mobilised;
  • how people and families will be informed;
  • which suppliers offer emergency support;
  • which devices must be evacuated with the person; and
  • how services will recover safely.

Testing Business Continuity

Written plans should be tested through practical exercises.

Exercises may include:

  • loss of power during a transfer;
  • failure of a rehabilitation platform;
  • cyber compromise of a telepresence robot;
  • a logistics robot blocking an evacuation route;
  • loss of supplier access;
  • failure of all charging stations;
  • unavailability of trained workers;
  • incorrect medication delivery; and
  • withdrawal of a product from the market.

Testing should identify whether staff know what to do, whether manual alternatives are accessible and whether the person remains safe during transition.

Procurement Governance

Robotics procurement should involve care, clinical, digital, workforce, finance, estates, cyber-security and consumer perspectives.

Approval should be based on:

  • defined need;
  • evidence of benefit;
  • risk classification;
  • accessibility;
  • workforce impact;
  • environmental suitability;
  • interoperability;
  • maintenance support;
  • data governance;
  • cyber security;
  • business continuity;
  • supplier viability;
  • lifetime cost;
  • exit arrangements; and
  • measurable outcomes.

Pilot projects should include clear stop criteria.

A device should not continue merely because money has already been invested.

Contract Management

Contracts should define:

  • equipment specifications;
  • performance standards;
  • uptime expectations;
  • maintenance schedules;
  • repair times;
  • availability of replacement units;
  • software-support periods;
  • security-update responsibilities;
  • remote-access controls;
  • incident notification;
  • data ownership;
  • data-location requirements;
  • subcontractor arrangements;
  • training obligations;
  • product-recall processes;
  • transition support;
  • termination rights;
  • secure data deletion;
  • equipment removal; and
  • supplier-failure contingency.

Supplier performance should be reviewed using operational evidence rather than relying only on contract meetings and product reports.

Robotics in Commissioning and Funding

Commissioners and funders should avoid viewing robotics as a simple substitute for funded care hours.

Commissioning models should examine:

  • whether the technology reflects the person’s goals;
  • whether a non-robotic option may work better;
  • installation and environmental requirements;
  • workforce support;
  • ongoing maintenance;
  • connectivity;
  • training;
  • repair and replacement;
  • data governance;
  • carer impact;
  • equity;
  • rural availability;
  • cultural safety;
  • outcome measurement; and
  • what happens when needs change.

Funding only the device purchase may leave providers or older people responsible for unaffordable ongoing costs.

Equitable Access

Robotics may widen inequality if access depends on location, income, home ownership or digital confidence.

People may face barriers because of:

  • high purchase costs;
  • subscription fees;
  • poor internet coverage;
  • limited housing space;
  • rental restrictions;
  • lack of technical support;
  • language barriers;
  • inaccessible controls;
  • limited local clinical expertise;
  • regional transport costs;
  • supplier concentration in metropolitan areas; and
  • exclusion from technology trials.

Equitable strategies may include:

  • publicly funded equipment pools;
  • short-term trials;
  • leasing arrangements;
  • regional technical hubs;
  • mobile maintenance teams;
  • subsidised connectivity;
  • accessible design standards;
  • community-controlled implementation;
  • shared specialist support;
  • renter-friendly equipment;
  • multilingual training; and
  • non-robotic alternatives.

Co-Design and Consumer Leadership

Older people should influence robotics programmes from initial concept through to evaluation.

Co-design may include:

  • identifying useful tasks;
  • testing appearance and movement;
  • reviewing voice and language;
  • setting privacy expectations;
  • designing consent processes;
  • testing emergency controls;
  • reviewing training materials;
  • participating in supplier selection;
  • defining meaningful outcomes;
  • reviewing complaints;
  • identifying cultural concerns; and
  • deciding when technology should be withdrawn.

People who reject robotics should also be heard. Refusal may reveal legitimate concerns about design, dignity or service priorities.

Evaluating Benefits

Evaluation should compare the robotic model with realistic alternatives.

Questions may include:

  • Did independence improve?
  • Was pain or fatigue reduced?
  • Did rehabilitation participation increase?
  • Were manual-handling injuries reduced?
  • Did workers gain more time for relational care?
  • Did social connection improve?
  • Were hospital admissions avoided?
  • Did family-carer stress reduce?
  • Was the device used consistently?
  • Did the person feel more or less in control?
  • Were privacy concerns created?
  • Did the technology add workload?
  • Was the benefit sustained?
  • Were outcomes equitable across groups?
  • Was the full cost justified?

Evaluation should include qualitative evidence, not only device activity and financial savings.

A Phased Implementation Roadmap

Phase One – Define the Care Problem

Identify the specific outcome, workforce issue or access barrier the robotic system is intended to address.

Phase Two – Assess People and Environments

Review physical, cognitive, cultural, housing, workforce, connectivity and clinical factors.

Phase Three – Co-Design the Model

Involve older people, carers, workers, clinicians and community representatives in shaping the proposed approach.

Phase Four – Classify Risk

Determine the potential consequences of malfunction, misuse, loss of control or inappropriate reliance.

Phase Five – Evaluate Suppliers

Assess safety evidence, accessibility, maintenance, cyber security, interoperability, lifetime cost and supplier viability.

Phase Six – Trial Carefully

Use a limited pilot with clear inclusion criteria, outcome measures, supervision and stop rules.

Phase Seven – Prepare the Workforce

Train workers, assess competence, clarify role changes and ensure manual fallback arrangements are practical.

Phase Eight – Integrate Governance

Connect the technology with care planning, risk registers, incident systems, dashboards, asset management and board assurance.

Phase Nine – Evaluate Human Impact

Assess independence, dignity, relationships, workforce experience, equity and unintended consequences.

Phase Ten – Scale Responsibly

Expand only where evidence shows sustained benefit and the organisation can support maintenance, response capacity and continuing oversight.

Common Pitfalls

Common weaknesses include:

  • buying technology before defining the care problem;
  • assuming robotics automatically reduces staffing demand;
  • failing to involve older people and workers;
  • using novelty as evidence of effectiveness;
  • introducing devices without environmental assessment;
  • weak consent processes;
  • failing to explain data collection;
  • using robots to replace meaningful human contact;
  • underestimating maintenance costs;
  • relying on one supplier without an exit plan;
  • failing to maintain manual alternatives;
  • allowing untrained workers to operate high-risk equipment;
  • focusing on training attendance rather than competence;
  • ignoring cyber-security risks;
  • failing to report near misses;
  • measuring activity instead of outcomes;
  • continuing ineffective pilots;
  • failing to reassess suitability as needs change;
  • excluding rural and disadvantaged communities;
  • using worker-performance data without transparency;
  • failing to test emergency procedures; and
  • treating supplier maintenance as a substitute for provider governance.

The Future of Robotics in Australian Aged Care

Future robotics may become more adaptive, affordable and integrated with everyday living environments.

Developments may include:

  • lighter wearable mobility systems;
  • adaptive robotic rehabilitation;
  • more capable home-assistance robots;
  • integrated smart-home and robotic platforms;
  • robots that support household tasks;
  • safer collaborative lifting systems;
  • personalised communication interfaces;
  • regional telepresence networks;
  • automated supply and pharmacy logistics;
  • predictive maintenance;
  • robots that learn individual movement preferences;
  • better multilingual interaction;
  • greater interoperability with care records;
  • consumer-controlled privacy settings;
  • shared robotic equipment libraries; and
  • stronger simulation and digital-twin testing before deployment.

The boundary between robotics, assistive technology, artificial intelligence and smart-home systems is likely to become less distinct.

A future mobility device may simultaneously support walking, monitor fatigue, communicate with clinicians, adjust the home environment and request help when risk increases.

This greater capability will make governance more important, not less.

Maintaining Human Values in an Automated Future

As robotics becomes more capable, aged care systems will need to protect values that cannot be reduced to efficiency measures.

These include:

  • dignity;
  • choice;
  • privacy;
  • belonging;
  • cultural identity;
  • human touch;
  • trust;
  • compassion;
  • ordinary risk;
  • meaningful work;
  • family connection; and
  • the right to refuse technology.

Responsible innovation should ask not only what robots can do, but what people should remain entitled to receive from other people.

Conclusion

Robotics could make an important contribution to the future of Australian aged care.

It may help older people move, rehabilitate, communicate, manage daily activities and remain connected. It may reduce physically demanding work, improve access to specialists and allow staff to spend more time on skilled and relational support.

These benefits will not arise automatically.

A robot that is unreliable, inaccessible, poorly governed or introduced primarily to reduce labour costs may add risk while weakening trust. A device that performs a task efficiently may still produce a poor outcome if it reduces dignity, choice or human connection.

Strong robotics programmes will combine:

  • person-centred assessment;
  • clear outcomes;
  • proportionate risk classification;
  • informed consent;
  • inclusive design;
  • workforce co-design;
  • practical competence;
  • physical and cyber safety;
  • reliable maintenance;
  • manual fallback;
  • supplier assurance;
  • equitable access;
  • outcome measurement;
  • ethical scrutiny; and
  • accountable governance.

The future of robotics in aged care should not be measured by how many human tasks can be removed. It should be measured by whether older people gain greater control, workers gain safer and more meaningful roles, and technology strengthens rather than displaces the relationships at the heart of care.