1 citations · 1 across the 4 of their papers we have counts for
4 papers
PhysiFlow: Physics-Aware Humanoid Whole-Body VLA via Multi-Brain Latent Flow Matching and Robust Tracking
Weikai Qin, Sichen Wu, Ci Chen +5
In the domain of humanoid robot control, the fusion of Vision-Language-Action (VLA) with whole-body control is essential for semantically guided execution of real-world tasks. Howe…
Pretraining-finetuning Framework for Efficient Co-design: A Case Study on Quadruped Robot Parkour
Ci Chen, Jiyu Yu, Haojian Lu +3
In nature, animals with exceptional locomotion abilities, such as cougars, often possess asymmetric fore and hind legs. This observation inspired us: could optimizing the leg lengt…
Failure-aware Policy Learning for Self-assessable Robotics Tasks
Kechun Xu, Runjian Chen, Shuqi Zhao +5
Self-assessment rules play an essential role in safe and effective real-world robotic applications, which verify the feasibility of the selected action before actual execution. But…
C^2:Co-design of Robots via Concurrent Networks Coupling Online and Offline Reinforcement Learning
Ci Chen, Pingyu Xiang, Haojian Lu +2
With the increasing computing power, using data-driven approaches to co-design a robot's morphology and controller has become a promising way. However, most existing data-driven me…