125 citations · 720 across the 24 of their papers we have counts for
13 papers · 1 filter
Distributed Robust Learning based Formation Control of Mobile Robots based on Bioinspired Neural Dynamics
Zhe Xu, Tao Yan, Simon X. Yang +2
This paper addresses the challenges of distributed formation control in multiple mobile robots, introducing a novel approach that enhances real-world practicability. We first intro…
A Novel Feature Learning-based Bio-inspired Neural Network for Real-time Collision-free Rescue of Multi-Robot Systems
Junfei Li, Simon X. Yang
Natural disasters and urban accidents drive the demand for rescue robots to provide safer, faster, and more efficient rescue trajectories. In this paper, a feature learning-based b…
Intelligent Collective Escape of Swarm Robots Based on a Novel Fish-inspired Self-adaptive Approach with Neurodynamic Models
Junfei Li, Simon X. Yang
Fish schools present high-efficiency group behaviors through simple individual interactions to collective migration and dynamic escape from the predator. The school behavior of fis…
Current Effect-eliminated Optimal Target Assignment and Motion Planning for a Multi-UUV System
Danjie Zhu, Simon X. Yang
The paper presents an innovative approach (CBNNTAP) that addresses the complexities and challenges introduced by ocean currents when optimizing target assignment and motion plannin…
Intelligent Escape of Robotic Systems: A Survey of Methodologies, Applications, and Challenges
Junfei Li, Simon X. Yang
Intelligent escape is an interdisciplinary field that employs artificial intelligence (AI) techniques to enable robots with the capacity to intelligently react to potential dangers…
Distributed Robust Learning-Based Backstepping Control Aided with Neurodynamics for Consensus Formation Tracking of Underwater Vessels
Tao Yan, Zhe Xu, Simon X. Yang
This paper addresses distributed robust learning-based control for consensus formation tracking of multiple underwater vessels, in which the system parameters of the marine vessels…