3 papers
cs.RO2026
VORL-EXPLORE: A Hybrid Learning Planning Approach to Multi-Robot Exploration in Dynamic Environments
Ning Liu, Sen Shen, Zheng Li +5
Hierarchical multi-robot exploration decouples frontier allocation from local navigation, making systems brittle in dynamic environments. Without awareness of execution difficulty,…
cs.RO2026
CARE: Consistent Action-Response Execution for Human-Guided Robot Transport
Ning Liu, Sen Shen, Zheng Li +5
Human-guided collaborative transport becomes interaction-critical when the operator can continue along a route segment that is not executable by the robot--payload system. In this…
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…