August 16, 2025

A Data-Driven Distributed Recurrent Neural Network for a Collaborative System of Multiple Redundant Manipulators With Unknown Structure.

View Full Paper

Ask AI

Bookmark

Authors

Discussion

Novel data-driven recurrent neural network improves collaborative motion in multimanipulator systems, suggesting enhanced accuracy.

Collaborative motion accuracy improved using data-driven methods in multimanipulator systems, achieving superior results.
Simulations and experiments show the effectiveness of a novel Jacobian estimation method in real-time motion generation.
This study uses a distributed recurrent neural network based on neurodynamics to adapt to time-varying manipulator characteristics.
Findings indicate that this method can work effectively even with unknown manipulator structures, calling for broader applications.

Zhang et al. (2025) studied this question.

View Full Paper

Ask AI

Bookmark