Huaze Liu 刘铧泽

Hi, I'm Huaze, also go by Patrick. I'm a visiting student at Georgia Institute of Technology working on humanoid robotics and dexterous manipulation, advised by Prof. Ye Zhao.

Previously, I graduated from Harvey Mudd College with high distinction, where I worked with Prof. Adyasha Mohanty on sensor fusion for trustworthy autonomous navigation. I also worked on humanoid robot control under the supervision of Prof. Michael Tolley and Prof. Hao Su at UC San Diego from 2025 to 2026.

I work on robotics control, dexterous manipulation, and reinforcement learning. Broadly speaking, I'm interested in how systems perceive and acts in the real world robustly.

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My research focuses on:

• Dexterous Manipulation — integrating model-free learning with physics-based simulation, optimization, and control to solve contact-rich dexterous manipulation efficiently and reliably.
• Whole-Body Manipulation — integrating diverse sensing modalities with whole-body control to solve manipulation tasks beyond table-top settings.

Contributed to learning-based control on a humanoid platform with sim-to-real deployment at interactive control rates.

We designed an information-theoretic fusion framework that tracks consistency between camera and LiDAR maps; by treating semantic drift as a shift in probability distributions, the system detects when perception diverges from reality.

To address limitations of traditional uncertainty models under high-dimensional and non-Gaussian sensor noise, we applied conformal prediction to robotics perception, providing mathematically guaranteed bounds on prediction errors.