ArticleFrontiers in neurorobotics2017
A Velocity-Level Bi-Criteria Optimization Scheme for Coordinated Path Tracking of Dual Robot Manipulators Using Recurrent Neural Network.
Article in Frontiers in neurorobotics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed.
- AMGAA: Attention-Guided Multi-Target Generative Adversarial Attack for Vision Transformers.Entropy (Basel, Switzerland) · 2026Article
- Advances in Zeroing Neural Networks: Bio-Inspired Structures, Performance Enhancements, and Applications.Biomimetics (Basel, Switzerland) · 2025Review
- Construction of multi-robot platform based on dobot robots.Frontiers in neurorobotics · 2025Article
- A Survey on Biomimetic and Intelligent Algorithms with Applications.Biomimetics (Basel, Switzerland) · 2024Article
- Recurrent neural network for trajectory tracking control of manipulator with unknown mass matrix.Frontiers in neurorobotics · 2024Article
- Harmonic Noise-Tolerant ZNN for Dynamic Matrix Pseudoinversion and Its Application to Robot Manipulator.Frontiers in neurorobotics · 2022Article
- Cognitive Mapping Based on Conjunctive Representations of Space and Movement.Frontiers in neurorobotics · 2017Article
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6 authors.
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Abstract
A dual-robot system is a robotic device composed of two robot arms. To eliminate the joint-angle drift and prevent the occurrence of high joint velocity, a velocity-level bi-criteria optimization scheme, which includes two criteria (i.e., the minimum velocity norm and the repetitive motion), is proposed and investigated for coordinated path tracking of dual robot manipulators. Specifically, to realize the coordinated path tracking of dual robot manipulators, two subschemes are first presented for the left and right robot manipulators. After that, such two subschemes are reformulated as two general quadratic programs (QPs), which can be formulated as one unified QP. A recurrent neural network (RNN) is thus presented to solve effectively the unified QP problem. At last, computer simulation results based on a dual three-link planar manipulator further validate the feasibility and the efficacy of the velocity-level optimization scheme for coordinated path tracking using the recurrent neural network.
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