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RoboMaster

Published: May 26, 2019

RoboMaster Competition hold by DJI

Adversarially Robust Imitation Learning Permalink

Published in CoRL, 2021

Imitation Learning, Adversarial Learning

Recommended citation: Jianren Wang*, Ziwen Zhuang*, Yuyang Wang, and Hang Zhao. Adversarially robust imitation learning. In 5th Annual Conference on Robot Learning, 2021. https://openreview.net/forum?id=9aVCUv3nKBg

Semi: Self-supervised exploration via multisensory incongruity.

Published in ICRA, 2022

A self-supervised exploration algorithm that uses multimodal sensory input as a reward signal.

Recommended citation: Jianren Wang*, Ziwen Zhuang*, and Hang Zhao. Semi: Self-supervised exploration via multisensory incongruity. International Conference on Robotics and Automation, 2022. https://arxiv.org/abs/2009.12494

Robot Parkour Learning Permalink

Published in CoRL (Oral) Best system paper finalist, 2023

An end-to-end neural network for Quadruped robot with extreme agility skills

Recommended citation: Ziwen Zhuang*, Zipeng Fu*, Jianren Wang, Christopher G Atkeson, Soren Schwertfeger, Chelsea Finn, & Hang Zhao (2023). Robot Parkour Learning. In 7th Annual Conference on Robot Learning.

Humanoid Parkour Learning Permalink

Published in , 2024

A single vision-based end-to-end whole-body-control parkour policy for humanoid robots.

Recommended citation: Ziwen Zhuang, , Shenzhe Yao, and Hang Zhao. "Humanoid Parkour Learning." (2024).

Introduction to Robot Learning

Published: May 18, 2023

Introduction of the state-of-the-art research in robot learning for undergraduate students.

Linear Algebra, Teaching Assistant

Undergraduate course, ShanghaiTech University, School of Information Science and Technology, 2019

Managing a class of 90 students with another TA. Responsible for grading homework and exams, holding office hours, and answering questions on Piazza.

Robotics, Teaching Assistant

Workshop, ShanghaiTech University, School of Information Science and Technology, 2023

Introduction to robotics and basic mathematics for robotics.