1 citations · 1 across the 7 of their papers we have counts for
8 papers
AMBUSH: Collaborative Capture in Complex Environments with Neural Acceleration
Junfeng Chen, YinHang Luo, Xinyi Wang +2
Collaborative capture of dynamic targets is common in nature as an essential strategy for weaker species against the strong. Similar concepts have shown to be useful for numerous r…
CLOSER-VLN: Closed-Loop Self-Verified Retrieval-Augmented Reasoning for Aerial Vision-Language Navigation
Shaoxuan Li, Xiangyu Dong, Xiaoguang Ma +3
Vision-language navigation (VLN) has recently advanced with large language and multimodal models, enabling agents to follow natural-language instructions in unseen environments wit…
Melding LLM and temporal logic for reliable human-swarm collaboration in complex scenarios
Junfeng Chen, Yuxiao Zhu, An Zhuo +6
Robot swarms promise scalable assistance in complex and hazardous environments. Task planning lies at the core of human-swarm collaboration, translating the operator's intent into…
CoCoPlan: Adaptive Coordination and Communication for Multi-robot Systems in Dynamic and Unknown Environments
Xintong Zhang, Junfeng Chen, Yuxiao Zhu +2
Multi-robot systems can greatly enhance efficiency through coordination and collaboration, yet in practice, full-time communication is rarely available and interactions are constra…
SLEI3D: Simultaneous Exploration and Inspection via Heterogeneous Fleets under Limited Communication
Junfeng Chen, Yuxiao Zhu, Xintong Zhang +2
Robotic fleets such as unmanned aerial and ground vehicles have been widely used for routine inspections of static environments, where the areas of interest are known and planned i…
DEXTER-LLM: Dynamic and Explainable Coordination of Multi-Robot Systems in Unknown Environments via Large Language Models
Yuxiao Zhu, Junfeng Chen, Xintong Zhang +2
Online coordination of multi-robot systems in open and unknown environments faces significant challenges, particularly when semantic features detected during operation dynamically…
Accelerated K-Serial Stable Coalition for Dynamic Capture and Resource Defense
Junfeng Chen, Zili Tang, Meng Guo
Coalition is an important mean of multi-robot systems to collaborate on common tasks. An adaptive coalition strategy is essential for the online performance in dynamic and unknown…
Combinatorial-hybrid Optimization for Multi-agent Systems under Collaborative Tasks
Zili Tang, Junfeng Chen, Meng Guo
Multi-agent systems can be extremely efficient when working concurrently and collaboratively, e.g., for transportation, maintenance, search and rescue. Coordination of such teams o…