3 papers
cs.RO2025
PFEA: An LLM-based High-Level Natural Language Planning and Feedback Embodied Agent for Human-Centered AI
Wenbin Ding, Jun Chen, Mingjia Chen +3
The rapid advancement of Large Language Models (LLMs) has marked a significant breakthrough in Artificial Intelligence (AI), ushering in a new era of Human-centered Artificial Inte…
cs.RO2025
MDCPP: Multi-robot Dynamic Coverage Path Planning for Workload Adaptation
Jun Chen, Mingjia Chen, Shinkyu Park
Multi-robot Coverage Path Planning (MCPP) addresses the problem of computing paths for multiple robots to effectively cover a large area of interest. Conventional approaches to MCP…
cs.RO2025
Distributed Multi-Robot Multi-Target Simultaneous Search and Tracking in an Unknown Non-convex Environment
Jun Chen, Jiaqing Ma, Philip Dames
In unknown non-convex environments, such as indoor and underground spaces, deploying a fleet of robots to explore the surroundings while simultaneously searching for and tracking t…