Jiaxi Zheng

I am a Reinforcement Learning Engineer at Mondo Tech (Palo Alto), working on deep RL for legged-wheeled robot locomotion and online RL fine-tuning for Vision-Language-Action models.

Previously, I was a research associate at the Robotics Institute, Carnegie Mellon University, advised by Prof. Matthew Johnson-Roberson and Prof. Howie Choset, where I worked on reconfigurable underwater robotics, snake robots, and in-pipe inspection systems. Before that, I interned at Westlake University with Prof. Dixia Fan and at CUHK with Prof. Samuel Au and Xiangyu Chu.

I received my B.Eng. from Dalian Maritime University in 2023, advised by Prof. Minyi Xu and Prof. Guangmin Xie. My research focuses on building novel robotic systems — from mechanism design to control and planning — with an emphasis on real-world deployment.

Email  /  Scholar  /  Github

profile photo

Publications

RS-ModCubes: Self-reconfigurable, Scalable, Modular Cubic Robots for Underwater Multitasking
Jiaxi Zheng, Guangmin Dai, Botao He, Zhaoyang Mu, Zhaochen Meng, Tianyi Zhang, Weiming Zhi, Dixia Fan
Accepted by IEEE RA-L, 2025
project page / arXiv

Deep-Learning-Assisted Underwater 3D Tactile Tensegrity
Peng Xu*, Jiaxi Zheng* Jianhua Liu*, Xiangyu Liu, Siyuan Wang,
Xinyu Wang, Guangmin Xie, Jin Tao, Minyi Xu,
AAAS Research, 2023

Design, Fabrication, and Characterization of a Hybrid Bionic Spherical Robotics With Multilegged Feedback Mechanism
Jiaxi Zheng Peng Xu, Zhaochen Meng, Jianhua Liu, Siyuan Wang,
Xinyu Wang, Guangmin Xie, Jin Tao, Minyi Xu,
IEEE RA-L, 2022

Projects

Design, Fabrication, and Characterization of a Hybrid Bionic Spherical Robotics With Multilegged Feedback Mechanism
Jiaxi Zheng Peng Xu, Zhaochen Meng, Jianhua Liu, Siyuan Wang,
Xinyu Wang, Guangmin Xie, Jin Tao, Minyi Xu,
IEEE RA-L, 2022


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