most citedDexterous Manipulation through Imitation Learning: A Survey

2 citations · 2 across the 5 of their papers we have counts for

collaborators

6 papers

cs.RO2026

A bioinspired internal model-based online estimator for planar pursuit

Tengyue Liu, Xincheng Li, Sofia Morales Ferreira +2

Bioinspired feedback controls for pursuit, tracking, and collective motion are often expressed in terms of the relative configuration between interacting agents. In practice, howev…

eess.SY2026

On Feedback Speed Control for a Planar Tracking

Xincheng Li, Tengyue Liu, Udit Halder

This paper investigates a planar tracking problem between a leader and follower agent. We propose a novel feedback speed control law, paired with a constant bearing steering strate…

cs.RO2026

OmniTrack: General Motion Tracking via Physics-Consistent Reference

Yuhan Li, Peiyuan Zhi, Yunshen Wang +6

Learning motion tracking from rich human motion data is a foundational task for achieving general control in humanoid robots, enabling them to perform diverse behaviors. However, d…

cs.RO2025

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.…

cs.CV2025

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…

cs.RO2025★ 2 cited

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…