Jixuan Zhi

Jixuan Zhi

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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

Posts

Future Blog Post

less than 1 minute read

Published:

This post will show up by default. To disable scheduling of future posts, edit config.yml and set future: false.

Blog Post number 4

less than 1 minute read

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.

Blog Post number 3

less than 1 minute read

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.

Blog Post number 2

less than 1 minute read

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.

Blog Post number 1

less than 1 minute read

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

publications

Visibility Integrity Region

Published in IEEE Robotics and Automation Letters, 2019

This paper is about the group following problem in 3D with visibility integrity.

Recommended citation: Jixuan Zhi, Yue Hao, Christopher Vo, Marco Morales, and Jyh-Ming Lien. "Computing 3-d from-region visibility using visibility integrity." IEEE Robotics and Automation Letters 4, no. 4 (2019): 4286-4291. https://ieeexplore.ieee.org/document/8772150/

Shepherding with Deep Reinforcement Learning and Probabilistic Roadmaps in Obstacle-filled environments

Published in IEEE Robotics and Automation Letters, 2021

We propose a deep reinforcement learning (DRL) framework combined with probabilistic roadmaps (PRM) to train a shepherding controller capable of herding agents in obstacle-cluttered environments.

Recommended citation: Jixuan Zhi, and Jyh-Ming Lien. "Learning to herd agents amongst obstacles: Training robust shepherding behaviors using deep reinforcement learning." IEEE Robotics and Automation Letters 6, no. 2 (2021): 4163-4168. https://ieeexplore.ieee.org/document/9387150/

Human-Robot Coexistence Space

Published in IEEE Robotics and Automation Letters, 2021

This paper is about computational design in Human-Robot coexistence space.

Recommended citation: Jixuan Zhi, Lap-Fai Yu, and Jyh-Ming Lien. "Designing human-robot coexistence space." IEEE Robotics and Automation Letters 6, no. 4 (2021): 7161-7168. https://ieeexplore.ieee.org/document/9484808/

Learning to Herd among Obstacles from an Optimized Potential Field with Deep Reinforcement Learning

Published in 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2022

We propose a deep reinforcement learning (DRL) framework guided by an optimized potential field surrogate to herd large groups (7–8 agents) in obstacle-cluttered environments.

Recommended citation: Jixuan Zhi, and Jyh-Ming Lien. "Learning to Herd Amongst Obstacles from an Optimized Surrogate." In 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), pp. 2954-2961. IEEE, 2022. https://ieeexplore.ieee.org/document/9982269

talks

teaching