Hi! I’m Anlun Huang (黄安伦). You can also call me Allen.

Currently, I am a Research Assistant at the Advanced Robotics and Controls Laboratory (ARClab), advised by Prof. Michael Yip, working on Loco-manipulation and Neural Motion Planning. I received my Master’s degree from the Department of Electrical and Computer Engineering at the University of California San Diego (UCSD), with a specialization in Intelligent Systems, Robotics & Control.

Previously, I earned my Bachelor’s degree in Robotics Engineering from the Southern University of Science and Technology (SUSTech), where I worked with Prof. Sicong Liu and Prof. Zheng Wang on Soft Robotics.

Research Interests

I am passionate about Embodied AI and Robot Learning, focusing on:

• Loco-manipulation: Reinforcement learning and whole-body control for humanoid robots loco-manipulation.
• Neural Motion Planning: Neural network-based motion planning for robot manipulators, gradient-based optimization.
• Soft Robotics: Learning-based modeling and control of continuum robots.

Recent News

• [2025/02]: I am keeping an eye out for internship and full-time opportunities in Robotics. Please feel free to reach out to me if you have any openings!

Publications

Foam-Embedded Soft Robotic Joint With Inverse Kinematic Modeling by Iterative Self-Improving Learning

Anlun Huang^*, Yongxi Cao^*, Jiajie Guo^*, Zhonggui Fang, Yinyin Su, Sicong Liu^†, Juan Yi, Hongqiang Wang, Jian S Dai, Zheng Wang^†

RAL & IROS 2024

[Code] [Video]

Multi-Dimensional Proprioception and Stiffness Tuning for Soft Robotic Joints

Zhonggui Fang, Chaoyi Huang, Yaxi Wang, Jiahao Xu, Jiyong Tan, Bin Li, Zichen Wang, Yige Wu, Anlun Huang, Juan Yi, Sicong Liu, Zheng Wang

ICRA 2022

Projects

Deformable Soft-rigid Hybrid Tank Robot Driven by Origami Twisting Soft Pneumatic Actuators

Songhao Huang, Anlun Huang, Yixuan Xia, Boyu Yang, Xipeng Zhang

The champion of “The IEEE RoboSoft Competition 2022 Locomotion Scenario”