From the 1 of 13 linked papers with an AI index.
6 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…
Unleashing Infinite Motion: Scaling Expressive Quadrupedal Motion via Generative Video Priors
Youzhi Liu, Li Gao, Yifei Qian +3
Quadruped robots have achieved remarkable locomotion, yet their behavioral repertoire remains confined to a few gaits--far from the expressive, companion-like presence long envisio…
Constraint-Aware Diffusion Priors for High-Fidelity and Versatile Quadruped Locomotion
Jianhui Chen, Ruixin Zhan, Liu Liu +2
Reinforcement learning combined with imitation learning has significantly advanced biomimetic quadrupedal locomotion. However, scaling these frameworks to massive, multi-source dat…
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…
ABot-N0: Technical Report on the VLA Foundation Model for Versatile Embodied Navigation
Zedong Chu, Shichao Xie, Xiaolong Wu +41
Embodied navigation has long been fragmented by task-specific architectures. We introduce ABot-N0, a unified Vision-Language-Action (VLA) foundation model that achieves a ``Grand U…
CE-Nav: Flow-Guided Reinforcement Refinement for Cross-Embodiment Local Navigation
Kai Yang, Tianlin Zhang, Zhengbo Wang +4
Generalizing local navigation policies across diverse robot morphologies is a critical challenge. Progress is often hindered by the need for costly and embodiment-specific data, th…