3 papers
cs.RO2026
VORL-EXPLORE: A Hybrid Learning Planning Approach to Multi-Robot Exploration in Dynamic Environments
Ning Liu, Sen Shen, Zheng Li +4
Hierarchical multi-robot exploration commonly decouples frontier allocation from local navigation, which can make the system brittle in dense and dynamic environments. Because the…
cs.RO2026
Adaptive Reinforcement and Model Predictive Control Switching for Safe Human-Robot Cooperative Navigation
Ning Liu, Sen Shen, Zheng Li +3
This paper addresses the challenge of human-guided navigation for mobile collaborative robots under simultaneous proximity regulation and safety constraints. We introduce Adaptive…
cs.RO2025
Cooperative Hybrid Multi-Agent Pathfinding Based on Shared Exploration Maps
Ning Liu, Sen Shen, Xiangrui Kong +2
Multi-Agent Pathfinding is used in areas including multi-robot formations, warehouse logistics, and intelligent vehicles. However, many environments are incomplete or frequently ch…