10 papers
Embedding Large Language Models into Flow Controls: An Agentic Framework for Adaptive and Trustworthy Automated Cooking
Zihan Song, Hongwei Huang, Yueshuo Sun +3
Automated cooking robots have traditionally relied on predefined procedures and rule-based control, ensuring stable execution but offering limited personalization, whereas recent l…
Breaking Bad Molecules: Are MLLMs Ready for Structure-Level Molecular Detoxification?
Fei Lin, Ziyang Gong, Cong Wang +9
Toxicity remains a leading cause of early-stage drug development failure. Despite advances in molecular design and property prediction, the task of molecular toxicity repair, gener…
Talk Less, Fly Lighter: Autonomous Semantic Compression for UAV Swarm Communication via LLMs
Fei Lin, Tengchao Zhang, Qinghua Ni +5
The rapid adoption of Large Language Models (LLMs) in unmanned systems has significantly enhanced the semantic understanding and autonomous task execution capabilities of Unmanned…
CoordField: Coordination Field for Agentic UAV Task Allocation In Low-altitude Urban Scenarios
Tengchao Zhang, Yonglin Tian, Fei Lin +6
With the increasing demand for heterogeneous Unmanned Aerial Vehicle (UAV) swarms to perform complex tasks in urban environments, system design now faces major challenges, includin…
A Comprehensive Survey on Underwater Acoustic Target Positioning and Tracking: Progress, Challenges, and Perspectives
Zhong Yang, Zhengqiu Zhu, Yong Zhao +16
Underwater target tracking technology plays a pivotal role in marine resource exploration, environmental monitoring, and national defense security. Given that acoustic waves repres…
A Multi-Agent Reinforcement Learning Approach for Cooperative Air-Ground-Human Crowdsensing in Emergency Rescue
Wenhao Lu, Zhengqiu Zhu, Yong Zhao +5
Mobile crowdsensing is evolving beyond traditional human-centric models by integrating heterogeneous entities like unmanned aerial vehicles (UAVs) and unmanned ground vehicles (UGV…