5 citations · 10 across the 11 of their papers we have counts for
11 papers · 1 filter
Motion Retargeting with Spatiotemporal Preferences for Humanoid Loco-Manipulation
Xiongbo Shi, Shihang Du, Zongyou Yu +6
Human motion retargeting bridges the embodiment gap between humans and humanoid robots by converting human demonstrations into reference trajectories for whole-body control and loc…
SixthSense: Task-Agnostic Proprioception-Only Whole-Body Wrench Estimation for Humanoids
Xingzhou Chen, Xiayan Xu, Yan Ning +8
Humanoid robots are entering our physical world at scale, yet as oversized toys--good at singing and dancing, but short on force-interaction capabilities for practical tasks. Bridg…
A Scalable Whole-body Motion Transfer via Implicit Kinodynamic Motion Retargeting
Xingyu Chen, Hanyu Wu, Sikai Wu +7
Human-to-humanoid imitation learning presents a promising pathway to address the severe data scarcity bottleneck in robotics by utilizing abundant, large-scale human motion collect…
A Whole-Body Motion Imitation Framework from Human Data for Full-Size Humanoid Robot
Zhenghan Chen, Haodong Zhang, Dongqi Wang +4
Motion imitation is a pivotal and effective approach for humanoid robots to achieve a more diverse range of complex and expressive movements, making their performances more human-l…
TOP: Time Optimization Policy for Stable and Accurate Standing Manipulation with Humanoid Robots
Zhenghan Chen, Haocheng Xu, Haodong Zhang +7
Humanoid robots have the potential capability to perform a diverse range of manipulation tasks, but this is based on a robust and precise standing controller. Existing methods are…
EMP: Executable Motion Prior for Humanoid Robot Standing Upper-body Motion Imitation
Haocheng Xu, Haodong Zhang, Zhenghan Chen +1
To support humanoid robots in performing manipulation tasks, it is essential to study stable standing while accommodating upper-body motions. However, the limited controllable rang…
Natural Humanoid Robot Locomotion with Generative Motion Prior
Haodong Zhang, Liang Zhang, Zhenghan Chen +3
Natural and lifelike locomotion remains a fundamental challenge for humanoid robots to interact with human society. However, previous methods either neglect motion naturalness or r…
Learning to Fill the Seam by Vision: Sub-millimeter Peg-in-hole on Unseen Shapes in Real World
Liang Xie, Hongxiang Yu, Yinghao Zhao +5
In the peg insertion task, human pays attention to the seam between the peg and the hole and tries to fill it continuously with visual feedback. By imitating the human behavior, we…
Kinematic Motion Retargeting via Neural Latent Optimization for Learning Sign Language
Haodong Zhang, Weijie Li, Jiangpin Liu +4
Motion retargeting from a human demonstration to a robot is an effective way to reduce the professional requirements and workload of robot programming, but faces the challenges res…
Learning World Transition Model for Socially Aware Robot Navigation
Yuxiang Cui, Haodong Zhang, Yue Wang +1
Moving in dynamic pedestrian environments is one of the important requirements for autonomous mobile robots. We present a model-based reinforcement learning approach for robots to…
Champion Team Paper: Dynamic Passing-Shooting Algorithm Based on CUDA of The RoboCup SSL 2019 Champion
Zexi Chen, Haodong Zhang, Dashun Guo +9
ZJUNlict became the Small Size League Champion of RoboCup 2019 with 6 victories and 1 tie for their 7 games. The overwhelming ability of ball-handling and passing allows ZJUNlict t…