One of the most important and fundamental tasks of the robot manipulators is position/force control. It is necessary to realize the desired force to perform sophisticated tasks such as grinding, deburring, wiping, or assembling of objects with the robot. In this survey paper, we mainly discuss on existing several force control systems for robot manipulators by applying softcomputing techniques, such as neural networks, fuzzy reasoning, and fuzzy-neural networks. We also point out some open-problems for the future works.
|Journal||Proceedings of the IEEE International Conference on Systems, Man and Cybernetics|
|Publication status||Published - Dec 1 1999|
|Event||1999 IEEE International Conference on Systems, Man, and Cybernetics 'Human Communication and Cybernetics' - Tokyo, Jpn|
Duration: Oct 12 1999 → Oct 15 1999
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Hardware and Architecture