Zipeng Fu
PhD Student Researcher at Stanford Artificial Intelligence Laboratory (SAIL)
Palo Alto, California, United States
Summary
👤
Senior🎓
Top SchoolZipeng Fu is a CS PhD student researcher at Stanford AI Lab with nine years of experience building general-purpose robot intelligence and sim-to-real systems, contributing to work like Mobile ALOHA, HumanPlus, and Robot Parkour that reached CoRL Best Paper Finalist status. His research spans robotics and machine learning, with internships and research stints at Google DeepMind, Carnegie Mellon, Vayu Robotics, and UCLA focused on foundation models for robotics, legged locomotion, and autonomy. He combines deep academic training (PhD at Stanford, MS at CMU, dual BS degrees from UCLA) with hands-on system-building across simulation and physical robots. Notably, his collaborations bridge top labs and advisors across the field, reflecting an emphasis on scalable, transferable robot policies and foundation-model approaches to mobility.
9 years of coding experience
4 years of employment as a software developer
Bachelor of Science - BS, Computer Science, Bachelor of Science - BS, Computer Science at University of California, Los AngelesMiddle School and High School, Middle School and High School at Shanghai Experimental SchoolMaster of Science - MS, Machine Learning, Master of Science - MS, Machine Learning at Carnegie Mellon UniversityDoctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Stanford University
Github Skills (9)
robotics6
gazebosim6
openscenegraph5
ros5
robotics-simulation5
simulation5
deep-learning4
pytorch4
reinforcement-learning4
Programming languages (3)
Github contributions (5)
MarkFzp/infogail-pomdp
Dec 2019 - Sep 2020
Contributions:7 commits, 4 pushes in 8 months
zipengfu/zipengfu.github.io
Jul 2022 - Feb 2025
Contributions:40 pushes, 1 branch in 2 years 7 months
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