activity
20202026
most citedRobot Parkour Learning

12 citations · 16 across the 9 of their papers we have counts for

collaborators

9 papers

cond-mat.soft2026

Experimental Characterization of the Passive Mechanical Behavior of Rat Pelvic Floor Muscles: Effects of Test Conditions and Pregnancy

Jose L. Monclova, Matthew Shankel, Ava M. English +2

Purpose: Pelvic floor muscles undergo large deformations during vaginal delivery, yet the passive tensile behavior of pregnant and non-pregnant pelvic floor muscle and the influenc…

cs.RO2026

TTT-Parkour: Rapid Test-Time Training for Perceptive Robot Parkour

Shaoting Zhu, Baijun Ye, Jiaxuan Wang +5

Achieving highly dynamic parkour with humanoid robots on complex terrains unseen during the pre-training stage remains a challenge in robotics. Although general locomotion policies…

cs.RO2026

Hiking in the Wild: A Scalable Perceptive Parkour Framework for Humanoids

Shaoting Zhu, Ziwen Zhuang, Mengjie Zhao +2

Achieving robust humanoid locomotion in complex, unstructured environments requires transitioning from reactive proprioception to proactive perception. However, integrating exteroc…

cs.RO2026

Deep Whole-body Parkour

Ziwen Zhuang, Shaoting Zhu, Mengjie Zhao +1

Current approaches to humanoid control generally fall into two paradigms: perceptive locomotion, which handles terrain well but is limited to pedal gaits, and general motion tracki…

cs.RO2025

Embrace Collisions: Humanoid Shadowing for Deployable Contact-Agnostics Motions

Ziwen Zhuang, Hang Zhao

Previous humanoid robot research works treat the robot as a bipedal mobile manipulation platform, where only the feet and hands contact the environment. However, we humans use all…

cs.RO2024★ 1 cited

Playful DoggyBot: Learning Agile and Precise Quadrupedal Locomotion

Xin Duan, Ziwen Zhuang, Hang Zhao +1

Quadrupedal animals can perform agile and playful tasks while interacting with real-world objects. For instance, a trained dog can track and catch a flying frisbee before it touche…

cs.RO2024★ 3 cited

Humanoid Parkour Learning

Ziwen Zhuang, Shenzhe Yao, Hang Zhao

Parkour is a grand challenge for legged locomotion, even for quadruped robots, requiring active perception and various maneuvers to overcome multiple challenging obstacles. Existin…

cs.RO2023★ 12 cited

Robot Parkour Learning

Ziwen Zhuang, Zipeng Fu, Jianren Wang +4

Parkour is a grand challenge for legged locomotion that requires robots to overcome various obstacles rapidly in complex environments. Existing methods can generate either diverse…

cs.LG2020

SEMI: Self-supervised Exploration via Multisensory Incongruity

Jianren Wang, Ziwen Zhuang, Hang Zhao

Efficient exploration is a long-standing problem in reinforcement learning since extrinsic rewards are usually sparse or missing. A popular solution to this issue is to feed an age…