Abstract
The neural network-based approach for sensing and control of robotic manipulators is presented. The authors corroborate the effectiveness of the proposed approach for impact control of a robotic manipulator. Since it is difficult to sense collisions and to control the robotic manipulator undergoing collisions, the proposed approach has robustness against the impact force. It also has the effectiveness in sensing and recognizing of collisions by using the proximity sensor.
| Original language | English |
|---|---|
| Pages (from-to) | 985-990 |
| Number of pages | 6 |
| Journal | Proceedings of the IEEE International Conference on Systems, Man and Cybernetics |
| Volume | 2 |
| Publication status | Published - 1991 Dec 1 |
| Externally published | Yes |
| Event | Conference Proceedings of the 1991 IEEE International Conference on Systems, Man, and Cybernetics - Charlottesville, VA, USA Duration: 1991 Oct 13 → 1991 Oct 16 |
ASJC Scopus subject areas
- Control and Systems Engineering
- Hardware and Architecture