1 citations · 1 across the 7 of their papers we have counts for
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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…