With the continuous application of robots, the accuracy requirements of robot control have been continuously improved. In the past, robot position control systems that can perform good palletizing, clamping, sorting, etc., have been unable to meet people’s needs. Therefore, based on theory, simulation and experimental verification, this paper proposes an adaptive hybrid impedance control algorithm based on subsystem dynamics model design, which reduces the computational complexity of the algorithm and solves the problem of inaccurate modeling. Related research and discussion in combination with grinding experiments for different surfaces.
CITATION STYLE
Luo, Z., Li, J., Bai, J., Wang, Y., & Liu, L. (2019). Adaptive hybrid impedance control algorithm based on subsystem dynamics model for robot polishing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11745 LNAI, pp. 163–176). Springer Verlag. https://doi.org/10.1007/978-3-030-27529-7_15
Mendeley helps you to discover research relevant for your work.