Nonlinearly-activated noise-tolerant zeroing neural network for distributed motion planning of multiple robot arms
Long Mei Jin, Shuai Li, Xin Luo, Mingsheng Shang · 2017
This paper investigates the distributed motion planning of multiple robot arms with limited communications in the presence of noises. To do this, a nonlinearly-activated noise-tolerant zeroing neural network (NANTZNN) is designed and presented for the first time for solving the presented distributed scheme online. Theoretical analyses and simulation results show the effectiveness and accuracy of the presented distributed scheme with the aid of NANTZNN model.