6 papers
UniReLo: Learning a Unified Humanoid Policy from Fall Recovery to Locomotion across Diverse Terrains
Xiaoyu Xu, Zhiming Chen, Yuenan Zhao +2
Reliable fall recovery, which commonly aims at attaining a nominal upright posture, is essential for the autonomous operation of humanoid robots in unstructured field environments.…
Dexterous Manipulation through Imitation Learning: A Survey
Shan An, Ziyu Meng, Chao Tang +9
Dexterous manipulation, which refers to the ability of a robotic hand or multi-fingered end-effector to skillfully control, reorient, and manipulate objects through precise, coordi…
SafeFall: Learning Protective Control for Humanoid Robots
Ziyu Meng, Tengyu Liu, Le Ma +4
Bipedal locomotion makes humanoid robots inherently prone to falls, causing catastrophic damage to the expensive sensors, actuators, and structural components of full-scale robots.…
GROVE: A Generalized Reward for Learning Open-Vocabulary Physical Skill
Jieming Cui, Tengyu Liu, Ziyu Meng +5
Learning open-vocabulary physical skills for simulated agents presents a significant challenge in artificial intelligence. Current reinforcement learning approaches face critical l…
Vision-Language Model Predictive Control for Manipulation Planning and Trajectory Generation
Jiaming Chen, Wentao Zhao, Ziyu Meng +4
Model Predictive Control (MPC) is a widely adopted control paradigm that leverages predictive models to estimate future system states and optimize control inputs accordingly. Howev…
StyleLoco: Generative Adversarial Distillation for Natural Humanoid Robot Locomotion
Le Ma, Ziyu Meng, Tengyu Liu +4
Humanoid robots are anticipated to acquire a wide range of locomotion capabilities while ensuring natural movement across varying speeds and terrains. Existing methods encounter a…