6 papers
PFM-HR: Pose Flow Matching for Humanoid Robots
Yukang Gao, Yi Gu, Yangchen Zhou +9
Motion priors improve reinforcement learning for physics-based humanoid tracking, but temporal priors require ordered motion clips, while pose priors provide limited guidance for p…
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…
PhySPRING: Structure-Preserving Reduction of Physics-Informed Twins via GNN
Yixiong Jing, Xingyuan Chen, Guangming Wang +3
Physics-based digital twins aim to predict the dynamics of real-world objects under interaction, enabling real-to-sim-to-real applications in robotics. Current approaches reconstru…
HAIC: Humanoid Agile Object Interaction Control via Dynamics-Aware World Model
Dongting Li, Xingyu Chen, Qianyang Wu +10
Humanoid robots show promise for complex whole-body tasks in unstructured environments. Although Human-Object Interaction (HOI) has advanced, most methods focus on fully actuated o…
PDF-HR: Pose Distance Fields for Humanoid Robots
Yi Gu, Yukang Gao, Yangchen Zhou +7
Pose and motion priors play a crucial role in humanoid robotics. Although such priors have been widely studied in human motion recovery (HMR) domain with a range of models, their a…
Text-driven Human Motion Generation with Motion Masked Diffusion Model
Xingyu Chen
Text-driven human motion generation is a multimodal task that synthesizes human motion sequences conditioned on natural language. It requires the model to satisfy textual descripti…