Hospital Night Corridor Patient Safety Patrol
Scenario record: it defines the environment, the mission flow and a proposed hardware and software configuration. The list below is a configuration proposal, not an installation inventory. Field projects lists deployed systems and their measurements.
- Environment
- Indoor, public area
- Operating mode
- Supervised autonomy
- Proposed robot
- Unitree AS2
The problem addressed
Late detection of fall and wandering events due to high patient-to-nurse ratio during night shifts.
Draft mission flow
- 1The robot patrols in silent mode through hospital corridors at night; detects patients lying on the floor with thermal camera.
- 2AI classifies fall position (lying, curled, unconscious); sends instant alarm to nurse call system.
- 3Detects wandering patients around dementia ward; reports corridor exit attempts.
- 4Night corridor safety summary transmitted to morning nurse report; recurring risk points analyzed.
Proposed hardware
- HD Night Vision Camera
- Thermal Camera
- Silent Motor Mode
- WiFi 6E Communication
Proposed software
- Navigation
- Night silent mode SLAM avoiding patients and staff in hospital corridors
- Model
- Fallen/Lying Patient Detection, Wandering Dementia Patient Tracking
- Integration
- Hospital Nurse Call System and Patient Tracking Platform
The robot's real operating limits
Unitree AS2
Industrial Capacity in a Compact Chassis
Product page- Ingress rating
- IP54
- Runtime
- >4 hours (No load)
- Operating temperature
- -20°C to 50°C
- Payload
- Up to 65 kg
- Max speed
- >5 m/s
- Climb
- 40°
Values are manufacturer data. Scenario fit is determined by comparing these limits with site conditions.
From scenario to installation
Feasibility is determined by the site survey: floor and route, network coverage, the charging point, intervention responsibilities and the conditions under which the robot must stop. The survey report defines the scope, the constraints and the commissioning steps.