11 July 2016 A new approach of active compliance control via fuzzy logic control for multifingered robot hand
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Proceedings Volume 10011, First International Workshop on Pattern Recognition; 1001111 (2016) https://doi.org/10.1117/12.2242807
Event: First International Workshop on Pattern Recognition, 2016, Tokyo, Japan
Abstract
Safety is a vital issue in Human-Robot Interaction (HRI). In order to guarantee safety in HRI, a model reference impedance control can be a very useful approach introducing a compliant control. In particular, this paper establishes a fuzzy logic compliance control (i.e. active compliance control) to reduce impact and forces during physical interaction between humans/objects and robots. Exploiting a virtual mass-spring-damper system allows us to determine a desired compliant level by understanding the behavior of the model reference impedance control. The performance of fuzzy logic compliant control is tested in simulation for a robotic hand known as the RED Hand. The results show that the fuzzy logic is a feasible control approach, particularly to control position and to provide compliant control. In addition, the fuzzy logic control allows us to simplify the controller design process (i.e. avoid complex computation) when dealing with nonlinearities and uncertainties.
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M. F. A. Jamil, J. Jalani, A. Ahmad, "A new approach of active compliance control via fuzzy logic control for multifingered robot hand", Proc. SPIE 10011, First International Workshop on Pattern Recognition, 1001111 (11 July 2016); doi: 10.1117/12.2242807; https://doi.org/10.1117/12.2242807
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