7 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-…
Efficient Coordination with the System-Level Shared State: An Embodied-AI Native Modular Framework
Yixuan Deng, Tongrun Wu, Donghao Wu +5
As Embodied AI systems move from research prototypes to real world deployments, they tend to evolve rapidly while remaining reliable under workload changes and partial failures. In…
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…
Multi-Reward GRPO Fine-Tuning for De-biasing Large Language Models: A Study Based on Chinese-Context Discrimination Data
Deng Yixuan, Ji Xiaoqiang
Large Language Models (LLMs) often exhibit implicit biases and discriminatory tendencies that reflect underlying social stereotypes. While recent alignment techniques such as RLHF…
GenTe: Generative Real-world Terrains for General Legged Robot Locomotion Control
Hanwen Wan, Mengkang Li, Donghao Wu +4
Developing bipedal robots capable of traversing diverse real-world terrains presents a fundamental robotics challenge, as existing methods using predefined height maps and static e…