The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2023
Session ID : 1A1-C18
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Generating damping profile using Bayesian Optimization for Human-robot Cooperation
*TRAN Duc LiemTasuku YAMAWAKIHiroyuki FUJIWARAMasahito YASHIMA
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Abstract

Impedance control is a widely used control method for physical human-robot collaboration systems. This paper proposes a new method to generate the damping profile to improve the performance of human-robot collaboration. First, monotone cubic interpolation is used to make smooth damping trajectories from several data points. The damping values at each data point are then optimized using bayesian optimization. Bayesian optimization is modified to consider task failures, and discretization of parameter space is used to improve the optimization process. Finally, experiments are conducted with a 7-DOF robot arm in a simplified 2-dimensional manipulation task, and results showed that the proposed method help improve the task performance.

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© 2023 The Japan Society of Mechanical Engineers
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