Lihan Zha

I am a PhD student at Princeton University, advised by Anirudha Majumdar. I am interested in enabling robots to perform complex tasks trustworthily in the real world.

Previously, I graduated from Tsinghua University with a B.S. in Mathematics and Physics and a B.E. in Mechanical Engineering, where I worked with Jianyu Chen on humanoid robots. I was also a visiting student at Stanford, advised by Dorsa Sadigh.

Email: lihanzha [at] princeton [dot] edu
GitHub  /  Twitter  /  Google Scholar  /  LinkedIn  /  CV

• Aug 2024 Started PhD at Princeton University. 🐯
• Jun 2024 Graduated from Tsinghua University. 🎓
• Jul 2023 Research intern at Stanford University advised by Prof. Dorsa Sadigh. 🌲

Guiding Data Collection via Factored Scaling Curves

We introduce Factored Scaling Curves (FSC), which model how policy performance scales with data for different environmental factors and can be extrapolated to guide principled data collection.

Distilling and Retrieving Generalizable Knowledge for Robot Manipulation via Language Corrections

We propose DROC that can respond effectively to online human language corrections, distill generalizable knowledge from corrections, and retrieve usable knowledge for future tasks.

DoReMi: Grounding Language Model by Detecting and Recovering from Plan-Execution Misalignment

We show how to leverage LLMs to generate constraints that can indicate misalignment during execution, and use VLMs to detect constraint violations continuously.

An Ultra-Short-Term and Short-Term Wind Power Forecasting Approach Based on Optimized Artificial Neural Network with Time Series Reconstruction

We propose using time series reconstruction to process serial wind power data and achieve state-of-the-art wind power prediction accuracy.

Design and source code from Jon Barron