A Trust-Assist Framework for Human–Robot Co-Carry Tasks

Robots are increasingly being employed for diverse applications where they must work and coexist with humans. The trust in human–robot collaboration (HRC) is a critical aspect of any shared-task performance both the human robot. study human-trusting robot has been investigated by numerous researchers. However, robot-trusting human, which also significant issue HRC, seldom explored field robotics. Motivated this gap, we propose novel trust-assist framework co-carry tasks study. This allows to determine level its partner. calculations based on motions, past interactions between pair, human’s current task. evaluated dynamically throughout collaborative task, change if performs false positive actions, can help avoid making unpredictable movements causing injury human. Additionally, proposed enable generate perform assisting follow human-carrying motions paces when considered trustworthy results our experiments suggest that effectively assists real-world through framework.