Table 5.
Robots in Hospitals.
| Moxi [49] | Reception- istBot [50] | CareBot [50] | MAiRA [51] | |
|---|---|---|---|---|
| Sensor(s) | LiDAR sensor from Velodyne, camera from Intel, arm from Kinova, and a gripper | Camera, microphone, and speaker | Camera, microphone, speaker, and various health care device sensor | 3D Vision sensors, voice recognition sensors, Smart touch sensitive 6-DOF sensor | 
| Purpose/Usability | Hospital Robot Assistant | Patient Greeting | Clinical staff Assistance | Surgical Procedures | 
| Scenario | Relieves the pressure from the hospital nursing staff in clinical setting scenario by retrieving and bringing supplies to hospital rooms or delivering the samples to the laboratories | Human–robot interaction scenario to perform hospital receptionist task | Patient care scenario in everyday nursing practices | Clinical care scenario to perform robot assisted procedure | 
| Task | Detect and recognize objects and people | Face detection, speech Recognition | Face detection, speech recognition, server communication | Object and face recognition, voice recognition, gesture detection, pose estimation | 
| Algorithm | Object and people recognition, human guided learning, object manipulation | OpenRTM [95], Yujin voice engine | OpenRTM [95], Yujin voice engine | Object recognition, voice recognition, human detection, gesture recognition | 
| Appearance | Compliant arm, hand, mobile base | Wheeled base, arms, touch screen | Wheeled base, touch screen | Robotic Arm | 
| Semantic Functions | To help clinical staff, i.e., nurses to complete their task, such as item collection | To communicate with patients, gather personal information from patients, assign them to CareBot | To acquire data about patients’ health condition, assist the nurses, measure the vital signs, i.e., pulse rate and report the results to medical staff | To assists medical staff in complex medical procedures | 
| Commercially Available | Yes | No (field testing) | No (field testing) | Yes |