Charles Xu

I am a fourth year undergraduate student at UC Berkeley majoring in Electrical Engineering and Computer Science. I currently conduct research with Prof. Sergey Levine at the Robotic AI & Learning Lab. I've also had the pleasure of working with Stefan Schaal. My research interests lie at the intersection of robotics and machine learning for building robust and generalizable autonomous manipulation systems.

xuc [at] berkeley [dot] edu  /  GitHub  /  Google Scholar  

profile photo

Research

project image

Octo: An Open-Source Generalist Robot Policy


Dibya Ghosh*, Homer Walke*, Karl Pertsch*, Kevin Black*, Oier Mees*, Sudeep Dasari, Joey Hejna, Tobias Kreiman, Charles Xu, Jianlan Luo, You Liang Tan, Dorsa Sadigh, Chelsea Finn, Sergey Levine
Robotics: Science and Systems 2024
website / paper / code

project image

SERL: A Software Suite for Sample-Efficient Robotic Reinforcement Learning


Jianlan Luo*, Zheyuan Hu*, Charles Xu, Siri Gadipudi, Archit Sharma, Rehaan Ahmad, Stefan Schaal, Chelsea Finn, Abhishek Gupta, Sergey Levine
IEEE International Conference on Robotics and Automation (ICRA) 2024
website / paper / video / code

project image

Open X-Embodiment: Robotic Learning Datasets and RT-X Models


Open X-Embodiment Collaboration
IEEE International Conference on Robotics and Automation (ICRA) 2024
website / paper / code / data

project image

FMB: A Functional Manipulation Benchmark for Generalizable Robotic Learning


Jianlan Luo*, Charles Xu*, Fangchen Liu, Liam Tan, Zipeng Lin, Jeffrey Wu, Pieter Abbeel, Sergey Levine
Under review, The International Journal of Robotics Research, 2023
website / video / code / data

project image

Multi-Stage Cable Routing through Hierarchical Imitation Learning


Jianlan Luo*, Charles Xu*, Xinyang Geng, Gilbert Feng, Kuan Fang, Liam Tan, Stefan Schaal, Sergey Levine
IEEE Transactions on Robotics, 2024
website / paper / video / code / data




Teaching

project image

EECS C106A/206A: Introduction to Robotics


Lab Assistant: Fall 2023

project image

CS 189: Introduction to Machine Learning


Tutor: Spring 2023





Design and source code from Jon Barron's website