Visibility Integrity Region
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.
CV
Education
- B.S. in Mechanical Engineering & Computer Science, Tianjin University, 2012
- M.S. in Computer Science, George Mason University, 2020
- Ph.D. in Computer Science, George Mason University, 2023
Work Experience
- 2023-Present: Applied Scienst
- Schnackel Engineers. Inc. Omaha, NE, USA
- Contributed to the development of a backend system designed to generate a clash-free and low-cost plumbing system in AutoCAD.
- Led a team of 3 people to proactively identify potential plumbing system problems and resolve them to enhance design accuracy.
- Managed the plumbing Water Sizing project focused on sizing pipes with pressure loss. Apply the Engineer Handbook sizing rule to codes.
- Took part in developing the Routing system for path finding in the plumbing system. Apply efficient Algorithms to generate 3D routes for the plumbing system under engineering constraints
- 2012-2016: Mechanical Engineer and Process Engineer
- SINOMA-TCDRI, Tianjin, China
- Designed and improved mechanical equipment in cement production lines for more than ten projects using AutoCAD.
- Participated in the design of two cement production lines. Guided on-site installation and commissioning of equipment.
Campus Experience
- 2021 Summer: University Lecturer
- George Mason University
- Duties included: Instructed CS112: Programming in Python. Presented 20 lectures to 50+ undergraduate students in the summer semester.
- 2017-2023: Research Assistant
- George Mason University
- Supervisor: Prof. Jyh-Ming Lien
- 2016-2022: Teaching Assistant
- George Mason University
- Duties included: Led office hours to 60+ students, Debugging in C (CS 471 Operating Systems), Java (CS 455 Computer Networking) and Python (CS 112 Intro to Programming)
Skills
- Programming: Python, C/C++, C#, Java, Go, JavaScript, HTML
- Tools: Unix/Linux, ROS, Bullet, Git, PyTorch, TensorFlow, Unity, VR, OpenCV, MATLAB, AutoCAD, SolidWorks, Docker
Publications
Shepherding with Deep Reinforcement Learning and Probabilistic Roadmaps in Obstacle-filled environments
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.
Human-Robot Coexistence Space
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.
Learning to Herd among Obstacles from an Optimized Potential Field with Deep Reinforcement Learning
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.
A Computational Design Framework to Optimize Shared Spaces for Human-Robot Collaboration.
Jixuan Zhi and Jyh-Ming Lien. "Improving Human-Robot Collaboration Via Computational Design." IEEE Robotics and Automation Letters 10, no. 2 (2025): 1074-1081.
Talks
Computing 3-D From-Region Visibility Using Visibility Integrity
Workshop talk at Capital Graphics 2019, George Mason University, Arlington Campus, USA
Computing 3-D From-Region Visibility Using Visibility Integrity
Conference proceedings talk at 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2019), Macao, China
Learning to Herd Agents Amongst Obstacles: Training Robust Shepherding Behaviors using Deep Reinforcement Learning
Conference proceedings talk at 2021 IEEE International Conference on Robotics and Automation (ICRA 2021), Xi'an, China (Online)
Designing Human-Robot Coexistence Space
Conference proceedings talk at 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2021), Prague, Czech Republic (Online)
Designing Human-Robot Coexistence Space
Workshop talk at Capital Graphics 2022, George Washington University, Foggy Bottom Campus, USA
Learning to Herd Amongst Obstacles from an Optimized Surrogate
Conference proceedings talk at 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022) , Kyoto, Japan (Online)
Improving Human-Robot Collaboration Via Computational Design
Conference proceedings talk at 2025 IEEE International Conference on Robotics and Automation (ICRA 2025), Atlanta, GA, USA
Teaching
Professional Service
- Session Co-Chair, ICRA 2025 – IEEE International Conference on Robotics and Automation
- Session: Human-Robot Collaboration 2, May 2025, Atlanta, GA
Professional Membership
- Senior Member, IEEE (Institute of Electrical and Electronics Engineers), since 2025
Review Service
- Journals - Autonomous Robots, Artificial Intelligence Review, Scientific Reports, Peer-to-Peer Networking and Applications, International Journal of Intelligent Robotics and Applications, Computers & Electrical Engineering, Engineering Applications of Artificial Intelligence, Robotics and Computer-Integrated Manufacturing.
- Conferences - ICRA 2021, ICRA 2024, IROS 2024