activity
20232025
most citedSoccerNet 2023 Challenges Results

28 citations · 31 across the 8 of their papers we have counts for

collaborators

8 papers

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.RO2025

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…

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…

cs.RO2025

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…

cs.RO2024

Integrating Controllable Motion Skills from Demonstrations

Honghao Liao, Zhiheng Li, Ziyu Meng +3

The expanding applications of legged robots require their mastery of versatile motion skills. Correspondingly, researchers must address the challenge of integrating multiple divers…

cs.RO2024★ 1 cited

VLMPC: Vision-Language Model Predictive Control for Robotic Manipulation

Wentao Zhao, Jiaming Chen, Ziyu Meng +3

Although Model Predictive Control (MPC) can effectively predict the future states of a system and thus is widely used in robotic manipulation tasks, it does not have the capability…

cs.CV2023★ 28 cited

SoccerNet 2023 Challenges Results

Anthony Cioppa, Silvio Giancola, Vladimir Somers +99

The SoccerNet 2023 challenges were the third annual video understanding challenges organized by the SoccerNet team. For this third edition, the challenges were composed of seven vi…