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Author

Jingzhi Cui

3 papers indexed here

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Preprint Sep 2026

Humanoid Badminton: Learning Dynamic Racket Skills from Limited Human Motion Data

High-speed racket sports provide a demanding testbed for humanoid robots, requiring time-critical decisions, precise striking, and dynamic whole-body coordination. In badminton, fast-changing shuttle trajectories require timely contact decisions, while successful returns demand precise racket pose and velocity within a...

Jing-Zhi Cui, Zhe-Xiong Wang, Bang-Jie Xu et al. · 0 citations
#artificial intelligence Preprint Sep 2026

Weave: Learning Whole-Body Dexterous Loco-Manipulation from Human-Object Interactions

Learning humanoid-object interaction requires coordinating whole-body balance, locomotion, and dexterous hand contact to control both robot and object motion. Human demonstrations provide examples of coordinated interaction, but transferring these behaviors to humanoid robots requires learning how to establish and main...

Liu Cao, Xing-Ze Wu, Jing-Zhi Cui et al. · 0 citations
Preprint Aug 2026

GigaBrain-0.7: Scaling Embodied Foundation Models to Emergent Capabilities with a Three-System Architecture

Vision-language-action (VLA) models have become a dominant paradigm for generalist embodied agents, demonstrating strong complex and long-horizon task completion in structured settings. Yet it remains an open question whether current VLA systems can benefit from more effective architectural design, scale to substantial...

GigaBrain Team, An-Gen Ye, Axiang Sun et al. · 5 citations · ⚡1

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