Xiaozhu Lin's Homepage

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Xiaozhu Lin's Homepage

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I am currently a final-year PhD student in Robotics at the MAgIC Lab of ShanghaiTech University. My research interests are currently at the intersection of bio-inspired robotics, fluid dynamics, and learning-based control, with a strong emphasis on enabling biological-level agile and efficient behaviors for fluid-interactive robots, such as robotic fish.

I am deeply fascinated by how fish manipulate the surrounding fluids in complex underwater environments, achieving keen perception and agile hunting or escaping. Enabling robotic fish to achieve the similar swimming ability as real fish allows us to understand and reveal the fluidity behind fish movement.​

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Publications

(Notation: * means Equal contribution, ^ means Corresponding author.)

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Agile and Controllable Omnidirectional Fast-start Maneuvers of Robotic Fish via Bio-inspired Reinforcement Learning​

Xu Huang*, Xiaozhu Lin*, Xiaopei Liu^, Yang Wang^

IEEE International Conference on Robotics and Automation (ICRA), 2026

[Paper] [Video]

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Learning Flow-Adaptive Dynamic Model for Robotic Fish Swimming in Unknown Background Flow​

Kaitian Chao*, Xiaozhu Lin*, Xiaopei Liu^, Yang Wang^

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2025​

[Paper] [Video]

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Ambient Flow Perception of Freely Swimming Robotic Fish using An Artificial Lateral Line System​

Hongru Dai*, Xiaozhu Lin*, Kaitian Chao, Yang Wang^

IEEE International Conference on Robotics and Automation (ICRA), 2025

[Paper] [Video]

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Learning Agile Swimming: An End-to-End Approach Without CPGs

Xiaozhu Lin, Xiaopei Liu, Yang Wang^

IEEE Robotics and Automation Letters (RA-L), 2025

[arXiv] [Paper] [Video]

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Dynamic Modeling of Robotic Fish considering Background Flow using Koopman Operators​

Xiaozhu Lin, Song Liu, Chengyuan Liu, Yang Wang^

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2024​

[Paper] [Video]

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Exploring Learning-based Control Policy for Fish-like Robots in Altered Background Flows​

Xiaozhu Lin, Wenbin Song, Xiaopei Liu, Xuming He, Yang Wang^

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023​

[Paper] [Video]

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3D Printed Optimization Bayesian Neural Network Trade-Off between Cost and Load-Bearing​

Xiaozhu Lin^, Xianglong Tan, Longchuan Wang, Andre Rosendo

IEEE International Conference on Robotics and Biomimetics (ROBIO), 2021

[Paper]

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Xiaozhu Lin's Homepage​

Xiaozhu Lin's Homepage