activity
20242026
collaborators

9 papers

cs.RO2026

ThorArena: Benchmarking Humanoid Physical Interaction with Human Motion-Force Demonstrations

Chenhao Yu, Hongwu Wang, Weitao Zhang +5

Humanoid robots are increasingly expected to perform contact-rich tasks that require not only accurate whole-body motion but also robust physical interaction with surrounding objec…

cs.RO2026

HumanoidUMI: Bridging Robot-Free Demonstrations and Humanoid Whole-Body Manipulation

Hongwu Wang, Chenhao Yu, Youhao Hu +3

High-quality demonstration data are essential for humanoid robot skill learning, especially for whole-body behaviors that require coordinated perception, locomotion, and manipulati…

cs.RO2026

OmniUMI: Towards Physically Grounded Robot Learning via Human-Aligned Multimodal Interaction

Shaqi Luo, Yuanyuan Li, Youhao Hu +7

UMI-style interfaces enable scalable robot learning, but existing systems remain largely visuomotor, relying primarily on RGB observations and trajectory while providing only limit…

cs.RO2026

BifrostUMI: Bridging Robot-Free Demonstrations and Humanoid Whole-Body Manipulation

Hongwu Wang, Chenhao Yu, Youhao Hu +3

High-quality demonstration data are essential for humanoid robot skill learning, especially for whole-body behaviors that require coordinated perception, locomotion, and manipulati…

cs.RO2025

Thor: Towards Human-Inspired Whole-Body Reactions for Intense Contact-Rich Environments

Gangyang Li, Hongzhe Shi, Qing Shi +5

Maintaining whole-body stability and motion tracking under large interaction forces remains challenging for humanoids. We present Thor, a reinforcement learning framework for force…

cs.RO2024

A Unified Interaction Control Framework for Safe Robotic Ultrasound Scanning with Human-Intention-Aware Compliance

Xiangjie Yan, Shaqi Luo, Yongpeng Jiang +6

The ultrasound scanning robot operates in environments where frequent human-robot interactions occur. Most existing control methods for ultrasound scanning address only one specifi…

cs.CV2024

UltraSeP: Sequence-aware Pre-training for Echocardiography Probe Movement Guidance

Haojun Jiang, Teng Wang, Zhenguo Sun +8

Echocardiography is an essential medical technique for diagnosing cardiovascular diseases, but its high operational complexity has led to a shortage of trained professionals. To ad…

cs.CV2024

Structure-aware World Model for Probe Guidance via Large-scale Self-supervised Pre-train

Haojun Jiang, Meng Li, Zhenguo Sun +5

The complex structure of the heart leads to significant challenges in echocardiography, especially in acquisition cardiac ultrasound images. Successful echocardiography requires a…

eess.IV2024

Cardiac Copilot: Automatic Probe Guidance for Echocardiography with World Model

Haojun Jiang, Zhenguo Sun, Ning Jia +5

Echocardiography is the only technique capable of real-time imaging of the heart and is vital for diagnosing the majority of cardiac diseases. However, there is a severe shortage o…