6 papers · 1 filter
GuardPIBT: Counterfactually Gated Neural Guidance for Ultra-Large-Scale 3D Multi-Agent Path Finding
Yuan Zhou, Zhenyu Hou, Guangtong Xu +4
Large-scale 3D multi-agent path finding becomes increasingly difficult under dense traffic. Priority Inheritance with Backtracking (PIBT) scales well, but its one-step goal-directe…
CometVLA: Co-Training on an Embodied Data Pyramid towards Physical Understanding
Hanwen Wan, Dafeng Chi, Linbo Zhai +6
Vision-language-action (VLA) models remain brittle in manipulation tasks that require physical commonsense. Current physical VQA data is typically disembodied and misaligned with r…
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…
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…
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…