Fall response
Detect a fall event, escalate risk in the digital twin, propose check-in or alert actions, and only execute what the Safety Gate allows.
Safety-constrained adaptive architecture for robotic eldercare
An integrated architecture for AI-driven elderly support robots — with a deterministic Safety Constraint Gate between proposal and action.
At home
Support at home
Illustrative ageing-in-place atmosphere: a companion-style robot alongside an older adult in a private living setting — SAFE-CARE is designed for this context under Safety Gate constraints.
Illustrative stock imagery — not a product photo or clinical claim.
The challenge
Ageing in place increases fall risk and care complexity, while care robotics remains fragmented across perception, reasoning, and human oversight.
Illustrative stock imagery — not a product photo or clinical claim.
The SAFE-CARE answer
Five coordinated layers — perception, digital twin and risk, constrained reasoning (LLM + Safety Gate), action/HRI, and care-network interfaces — designed so the LLM proposes and the gate disposes.
Module and simulation results are reported on the Evaluation page. No living-lab clinical validation study has been performed.
Illustrative form-factor atmosphere — not a product endorsement.
Use cases
Illustrative eldercare robotics scenarios SAFE-CARE is designed to support — always with the Safety Gate between proposal and action.
Medication reminder with Safety Gate
Schedule and voice reminders for known regimens; the gate blocks unsafe dosing suggestions and routes exceptions to human oversight.
Night check-in
Low-disturbance night rounds: presence and distress cues, quiet prompts, and care-network escalation when thresholds are crossed.
Care-home fleet
Shared robots across a residential care site — task queues, resident context via RCDT, and organization dashboards for staff.
Home ageing-in-place
A single companion form factor in a private home: daily routines, fall awareness, and family/care-org connectivity under constraint.
Research pilot
Instrumented evaluation deployments for universities and living labs — logging, metrics, and gated action policies without clinical claims.
Humanoid Robot
The physical platform
SAFE-CARE runs on humanoid and service-robot form factors — sensors, reach limits, and Safety Gate integration.
