most citedA Novel Feature Learning-based Bio-inspired Neural Network for Real-time Collision-free Rescue of Multi-Robot Systems

19 citations · 43 across the 5 of their papers we have counts for

collaborators

5 papers

cs.RO2024★ 19 cited

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…

cs.RO2024★ 5 cited

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…

cs.RO2024★ 11 cited

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…

cs.RO2023★ 8 cited

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…

cs.RO2023

Nowhere to Go: Benchmarking Multi-robot Collaboration in Target Trapping Environment

Hao Zhang, Jiaming Chen, Jiyu Cheng +3

Collaboration is one of the most important factors in multi-robot systems. Considering certain real-world applications and to further promote its development, we propose a new benc…