On the Development of Autonomous Assistive Robotic System for Drinking Task for People with Disability

Abstract

Activities of Daily Living (ADLs), especially activities around the head such as drinking, feeding, shaving and oral care, are of great importance for an independent quality of life. Assistive robots for ADLs are developed to perform tasks that the disabled person would require frequent need for a caregiver. These assistive robotic systems are either manually controlled or controlled via a shared control scheme, thus are not fully autonomous. This paper proposes an autonomous assistive robotic system to perform drinking task for disabled people. The system employs a UR-10 6-DOF manipulator to convey a cup of drink to the user’s mouth and perform autonomously the drinking task in a nature manner. A Kinect sensor is used for online face and mouth detection and head pose tracking, recognition of the cup region of interest and the drink level. The robot trajectory planning and control are done such that the cup is kept upright and is conveyed at a constant speed to the user’s detected mouth point. This makes use of the 3D data acquired from image processing and is online updated for trajectory replanning when the head and mouth pose unintentionally change. Also, during drinking, the cup is continuously reoriented to keep the horizontal drink level at the mouth point and to ensure that the cup remains in contact with the user’s mouth. Simulation results prove that the proposed system can perform the drinking assistance autonomously.