On using human activity recognition sensors to improve the performance of collaborative mobile manipulators: Review and outlook

Abstract The operation of mobile manipulators in a collaborative environment needs to be adapted the characteristics and skills human operators. Human activity recognition, utilizing wearable sensors vision systems, could used fine tune performance manipulator so that operators better assisted. goal is develop sense safety trust between order improve ergonomics operator within workspace. This paper reviews technologies can for tracking together with gait recognition as biometric tool. These potentially allow robotic dynamically adapt motion, skills, intentions requirements task action. also proposes an idea combining model towards improving robots.