A user study on human-robot-interactive recovery for industrial assembly problems
Arne Muxfeldt, Sugeeth Gopinathan, Thilo Coenders, Jochen J. Steil
- Year
- 2017
- Citations
- 5
Abstract
This paper focuses on Human-Robot Interaction (HRI) in a scenario where a robot has to recover from an assembly problem. For this purpose, a human interacts with the robot so that the task-specific knowledge and experience of the human can be used for recovery. The question which interaction method is the most successful for this problem will be answered by a user study with 31 participants. Four different interaction methods are compared: space mouse, keyboard, kinesthetic guidance and a kinesthetic guidance with adaptive stiffness. The results clearly show that the kinesthetic guidance methods have superior performance and user satisfaction compared to the other considered methods.
Keywords
Related papers
Statistical Learning Theory
Yuhai Wu, Vladimir Vapnik
1999
Artificial intelligence: a modern approach
1995
Applied Nonlinear Control
Jean-Jacques Slotine, Weiping Li
1991
A new optimizer using particle swarm theory
R.C. Eberhart, James Kennedy
2002