activity
20242026
collaborators

6 papers

cs.RO2026

Humanoid-GPT: Scaling Data and Structure for Zero-Shot Motion Tracking

Zekun Qi, Xuchuan Chen, Dairu Liu +10

We introduce Humanoid-GPT, a GPT-style Transformer with causal attention trained on a billion-scale motion corpus for whole-body control. Unlike prior shallow MLP trackers constrai…

cs.RO2026

Learning Athletic Humanoid Tennis Skills from Imperfect Human Motion Data

Zhikai Zhang, Haofei Lu, Yunrui Lian +12

Human athletes demonstrate versatile and highly-dynamic tennis skills to successfully conduct competitive rallies with a high-speed tennis ball. However, reproducing such behaviors…

cs.RO2026

Collision-Free Humanoid Traversal in Cluttered Indoor Scenes

Han Xue, Sikai Liang, Zhikai Zhang +7

We study the problem of collision-free humanoid traversal in cluttered indoor scenes, such as hurdling over objects scattered on the floor, crouching under low-hanging obstacles, o…

cs.RO2025

Unleashing Humanoid Reaching Potential via Real-world-Ready Skill Space

Zhikai Zhang, Chao Chen, Han Xue +6

Humans possess a large reachable space in the 3D world, enabling interaction with objects at varying heights and distances. However, realizing such large-space reaching on humanoid…

cs.RO2025

Track Any Motions under Any Disturbances

Zhikai Zhang, Jun Guo, Chao Chen +10

A foundational humanoid motion tracker is expected to be able to track diverse, highly dynamic, and contact-rich motions. More importantly, it needs to operate stably in real-world…

cs.CV2024

FreeMotion: MoCap-Free Human Motion Synthesis with Multimodal Large Language Models

Zhikai Zhang, Yitang Li, Haofeng Huang +2

Human motion synthesis is a fundamental task in computer animation. Despite recent progress in this field utilizing deep learning and motion capture data, existing methods are alwa…