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A list of all the posts and pages found on the site. For you robots out there is an XML version available for digesting as well.
Pages
Ziwen Zhuang (庄子文)
About me
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Posts
Future Blog Post
Published:
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Blog Post number 4
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 3
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 2
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This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
Blog Post number 1
Published:
This is a sample blog post. Lorem ipsum I can’t remember the rest of lorem ipsum and don’t have an internet connection right now. Testing testing testing this blog post. Blog posts are cool.
portfolio
Portfolio item number 1
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Portfolio item number 2
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projects
RoboMaster
Published:
RoboMaster Competition hold by DJI
publications
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 Conference on Robot Learning, 2024
A single vision-based end-to-end whole-body-control parkour policy for humanoid robots. 
Recommended citation: Zhuang, Z., Yao, S., & Zhao, H. (2024). Humanoid Parkour Learning. 8th Annual Conference on Robot Learning.
Embrace Collisions: Humanoid Shadowing for Deployable Contact-Agnostics Motions Permalink
Published in , 2025
We present a unified general humanoid motion interface and a zero-shot sim-to-real reinforcement learning framework, so that humanoid robots can successfully perform extreme contact-agnostic motion in the real world. 
Recommended citation: Ziwen Zhuang and Hang Zhao. "Embrace Collisions: Humanoid Shadowing for Deployable Contact-Agnostics Motions." (2025).
talks
Introduction to Robot Learning
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Introduction of the state-of-the-art research in robot learning for undergraduate students.
Invited talk at Workshop on Whole-body Control and Bimanual Manipulation at CoRL 2024 Permalink
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Robot Parkour and Athletic Intelligence for Legged Robots Permalink
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Introduction of the latest athletic intelligence for legged robots in terms of robot parkour.
Robot Parkour and Athletic Intelligence for Legged Robots Permalink
Published:
Introduction of the latest athletic intelligence for legged robots in terms of robot parkour.
teaching
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.