4 papers
CoWork-X: Experience-Optimized Co-Evolution for Multi-Agent Collaboration System
Zexin Lin, Jiachen Yu, Haoyang Zhang +5
Large language models are enabling language-conditioned agents in interactive environments, but highly cooperative tasks often impose two simultaneous constraints: sub-second real-…
A Learning-based Control Methodology for Transitioning VTOL UAVs
Zexin Lin, Yebin Zhong, Hanwen Wan +3
Transition control poses a critical challenge in Vertical Take-Off and Landing Unmanned Aerial Vehicle (VTOL UAV) development due to the tilting rotor mechanism, which shifts the c…
Value-Guided Iterative Refinement and the DIQ-H Benchmark for Evaluating VLM Robustness
Hanwen Wan, Zexin Lin, Yixuan Deng +1
Vision-Language Models (VLMs) are essential for embodied AI and safety-critical applications, such as robotics and autonomous systems. However, existing benchmarks primarily focus…
EmbodiedAgent: A Scalable Hierarchical Approach to Overcome Practical Challenge in Multi-Robot Control
Hanwen Wan, Yifei Chen, Yixuan Deng +6
This paper introduces EmbodiedAgent, a hierarchical framework for heterogeneous multi-robot control. EmbodiedAgent addresses critical limitations of hallucination in impractical ta…