Chenjia Bai
Chenjia Bai
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Preprint
Learning Soccer Skills for Humanoid Robots: A Progressive Perception-Action Framework
arXiv preprint
Perception-Action integrated Decision-making (PAiD), a progressive framework for humanoid soccer skills.
Jipeng Kong
,
Xinzhe Liu
,
Yuhang Lin
,
Jinrui Han
,
Sören Schwertfeger
,
Chenjia Bai
✉
,
Xuelong Li
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TextOp: Real-time Interactive Text-Driven Humanoid Robot Motion Generation and Control
arXiv
Real-time text-driven humanoid motion generation and control using a two-level diffusion-and-tracking architecture (TextOp).
Weiji Xie
,
Jiakun Zheng
,
Jinrui Han
,
Jiyuan Shi
,
Weinan Zhang
✉
,
Chenjia Bai
✉
,
Xuelong Li
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HUSKY: Humanoid Skateboarding System via Physics-Aware Whole-Body Control
arXiv preprint
We address humanoid skateboarding, a highly challenging task requiring stable dynamic maneuvering on an humanoid platform via physics-aware whole-body control for humanoid skateboarding in dynamic settings.
Jinrui Han
,
Dewei Wang
,
Chenyun Zhang
,
Xinzhe Liu
,
Ping Luo
,
Chenjia Bai
✉
,
Xuelong Li
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公众号
Pro-HOI: Perceptive Root-guided Humanoid-Object Interaction
arXiv preprint
We introduce Pro-HOI, a generalizable framework for robust humanoid loco-manipulation via perceptive root-guided control.
Yuhang Lin
,
Jiyuan Shi
,
Dewei Wang
,
Jipeng Kong
,
Yong Liu
,
Chenjia Bai
✉
,
Xuelong Li
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X-Loco: Towards Generalist Humanoid Locomotion Control via Synergetic Policy Distillation
arXiv preprint
We introduce X-Loco, a framework for training a vision-based generalist humanoid locomotion controller through synergetic policy distillation.
Dewei Wang
,
Xinmiao Wang
,
Chenyun Zhang
,
Jiyuan Shi
,
Yingnan Zhao
,
Chenjia Bai
✉
,
Xuelong Li
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Beyond Short-Horizon: VQ-Memory for Robust Long-Horizon Manipulation in Non-Markovian Simulation Benchmarks
arXiv preprint
We introduce RuleSafe and VQ-Memory, a VQ-VAE temporal representation that boosts long-horizon manipulation in non-Markovian benchmarks.
Honghui Wang
,
Zhi Jing
,
Jicong Ao
,
Shiji Song
,
Xuelong Li
,
Gao Huang
,
Chenjia Bai
✉
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HALO: Closing Sim-to-Real Gap for Heavy-loaded Humanoid Agile Motion Skills via Differentiable Simulation
arXiv preprint
HALO introduces a MuJoCo XLA-based two-stage identification pipeline that closes the heavy-load sim-to-real gap for agile humanoid skills.
Xingyi Wang
,
Chenyun Zhang
,
Weiji Xie
,
Chao Yu
,
Wei Song
,
Chenjia Bai
✉
,
Shiqiang Zhu
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