诸怀疆 | Huaijiang Zhu

I am a founding engineer at Alquist working on multimodal reasoning for embodied agents. I received my Ph.D. from New York University, where I was advised by Prof. Ludovic Righetti at the Machines in Motion Laboratory. During my Ph.D., I interned at the Boston Dynamics RAI Institute, working with Dr. Tao Pang on contact-rich dexterous manipulation. Prior to NYU, I received my bachelor's and master's degree in Electrical Engineering from the Technical University of Munich.

selected publications

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Should We Learn Contact-Rich Manipulation Policies from Sampling-Based Planners?

Huaijiang Zhu, Tong Zhao, Xinpei Ni, Jiuguang Wang, Kuan Fang, Ludovic Righetti, Tao Pang

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

Best Paper Award

arXiv Video

Efficient Object Manipulation Planning with Monte Carlo Tree Search

Huaijiang Zhu, Avadesh Meduri, Ludovic Righetti

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

Best Paper Award Finalist on Mobile Manipulation

arXiv Code

Enabling Remote Whole-Body Control with 5G Edge Computing

Huaijiang Zhu, Manali Sharma, Kai Pfeiffer, Marco Mezzavilla, Jia Shen, Sundeep Rangan, Ludovic Righetti

IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2020

arXiv

notes

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March 22, 2026

Why Claude Code Became Our Project Manager

February 15, 2026

Why AI is Ugly

January 25, 2026

The End of the Average App

January 2, 2026