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cs.RO2026
HM3D-M3: A Benchmark for Multi-Agent, Multi-Modal, Multi-Object Goal Navigation
Hongyu Ding, Kanyu Xu, Mingjia Chen +5
Rapid progress in AI agents and robotics makes it a matter of the near future that humans are served by a team of robots. Such a team will receive several goals at once, each speci…
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, Tianlong Yu +2
Multi-robot coverage path planning commonly balances geometric area or path length under a constantspeed assumption. This assumption is inadequate when sensing or interaction tasks…