5 papers · 1 filter
Behavior Foundations for Quadruped Robots: ABot-C0 Technical Report
Xufeng Zhao, Fuzhi Yang, Jianhui Chen +17
The motion controller is one of the most fundamental modules in embodied intelligence systems. Driven by large-scale human motion-capture data and the motion-tracking paradigm, hum…
QuadFM: Foundational Text-Driven Quadruped Motion Dataset for Generation and Control
Li Gao, Fuzhi Yang, Jianhui Chen +4
Despite significant advances in quadrupedal robotics, a critical gap persists in foundational motion resources that holistically integrate diverse locomotion, emotionally expressiv…
MotionAnymesh: Physics-Grounded Articulation for Simulation-Ready Digital Twins
WenBo Xu, Liu Liu, Li Zhang +2
Converting static 3D meshes into interactable articulated assets is crucial for embodied AI and robotic simulation. However, existing zero-shot pipelines struggle with complex asse…
DuetHOI: Language-Guided Bimanual Hand--Object Motion Generation with Articulation Planning and Contact Refinement
Zhi Wang, Yuyan Liu, Liu liu +2
Bimanual articulated-object interaction generation requires a model to capture the evolution of object articulation, coordination between the two hands, and fine-grained hand--obje…
SynHLMA:Synthesizing Hand Language Manipulation for Articulated Object with Discrete Human Object Interaction Representation
Wang zhi, Yuyan Liu, Liu Liu +3
Generating hand grasps with language instructions is a widely studied topic that benefits from embodied AI and VR/AR applications. While transferring into hand articulatied object…