Charles Xu

I am currently a research intern at Physical Intelligence Inc. Before this, I finished my undergrad at UC Berkeley in EECS in May 2024 , where I conducted 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, specifically developing more scalable and generalizable Reinforcement Learning and Imitation Learning methods for building robust and deployable robotic manipulation systems.

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

RLDG: Robotic Generalist Policy Distillation via Reinforcement Learning

Precise and Dexterous Robotic Manipulation via Human-in-the-Loop Reinforcement Learning

Octo: An Open-Source Generalist Robot Policy

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

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

FMB: A Functional Manipulation Benchmark for Generalizable Robotic Learning

Multi-Stage Cable Routing through Hierarchical Imitation Learning

EECS C106A/206A: Introduction to Robotics

Lab Assistant: Fall 2023

CS 189: Introduction to Machine Learning

Tutor: Spring 2023

Design and source code from Jon Barron's website