Needs for flexible robotic solutions are more relevant in the current industrial scenario and hence robotic assistance systems are growing in relevance. It is widely believed that for robotic assistance systems collaboration with humans it is mutually beneficial through taking advantage of the human’s cognitive and perceptual skills.
While it is clear that physical Human-Robot Interaction will improve the task efficiency, the efficiency of the interaction and the user satisfaction is a widely unexplored domain. Hence the needs for having systems which adapts to the human characteristics and maximize the ergonomics and the user satisfaction are increasing. There are a few current work which tries to attain this goal by various diverse methodologies.
The talk should focus of the state of the art methods (existing controllers and learning methods) and future scopes in this domain.