UC Berkeley Robot Learning Lab: People

Home
People
Research
Outreach
Contact

December 2018 lab lunch

Director


Prof. Pieter Abbeel

Current

Post-docs


Stephen James

Jongmin Lee

Youngwoon Lee

Xingyu Lin

Aditi Raghunathan

Aravind Rajeswaran(v)

Ph.D. students


Ademi Adeniji

Yuqing Du

Alejandro Escontrela

Paula Gradu

Ajay Jain

Fangchen Liu

Hao Liu

Olivia Watkins

Philipp Wu

Wilson Yan

Sherry Yang

Kevin Zakka

Danijar Hafner (v)

Younggyo Seo (v)

Denis Yarats (v)
v: visiting

Undergraduate students


Ethan Guo (2023)

Anthony Han (2024)

Aryan Jain (2024)

Xinran Liang (2022)

John So (2023)

Meiqi Sun (2024)

Amber Xie (2023)


On Leave

Xi (Peter) Chen (Founder/CEO Covariant)
David Gealy (Founder Ambidextrous and Co-Creator of Berkeley Open Arms)
Zoe McCarthy
Jie Tang (Research Scientist at OpenAI)
Tianhao Zhang (Founder Covariant)


Former

Post-docs

Kimin Lee [Research Scientist at Google]
Misha Laskin [Research Scientist at Deepmind]
Aditya Grover [Assistant Professor at UCLA]
Stas Tiomkin [Assistant Professor at SJSU]
Deepak Pathak [Assistant Professor at CMU]
Lerrel Pinto [Assistant Professor at NYU]
Stephen McKinley [Co-Founder Ambidextrous and Co-Creator of Berkeley Open Arms]
Aviv Tamar [Assistant Professor at Technion]
David Held [Assistant Professor at CMU]
Igor Mordatch [Research Scientist at OpenAI / Research Scientist at Google Brain]
Sergey Levine [Assistant Professor at UC Berkeley]
Sachin Patil [Otto / Uber / Founding Engineer Ike]
Dmitry Berenson [Assistant Professor at WPI / Assistant / Associate Professor at the University of Michigan]
Jia Pan [Assistant Professor at the City University of Hong Kong]
Jur van den Berg [Assistant Professor at University of Utah / Google[x] Self-driving Car Team / Otto / Uber / Co-Founder Ike]
Lorenzo Riano [now Senior Research Engineer at Bosch North America]

Ph.D. students

Kourosh Hakhamaneshi (May 2022)
Thesis: Pre-training Agents for Design Optimization and Control
Next: Anyscale

Xue Bin (Jason) Peng (December 2021)
Thesis: Acquiring Motor Skills Through Motion Imitation and Reinforcement Learning
Next:

Roshan Rao
Thesis: Training, Evaluating, and Understanding Evolutionary Models for Protein Sequences
Next: Facebook AI Research

Aravind Srinivas (August 2021)
Thesis: Representation Learning for Perception and Control
Next: Research Scientist at OpenAI

Abhishek Gupta (August 2021)
Thesis: How to Train Your Robot: Techniques for Enabling Robotic Learning in the Real World
Next: Post-doc at MIT
Next-next: Assistant Professor at University of Washington

Thanard Kurutach (May 2021)
Thesis: Learning, Planning, and Acting with Models
Next: Research Scientist at Cruise

Joshua Achiam (May 2021)
Thesis: Exploration and Safety in Deep Reinforcement Learning
Next: Research Scientist at OpenAI

Gregory Kahn (December 2020)
Thesis: Mobile Robot Learning
Next: stealth start-up

Ignasi Clavera (August 2020)
Thesis: Overcoming Model-Bias in Reinforcement Learning
Next: Research Scientist at Covariant

Coline Devin (August 2020)
Thesis: Compositionality and Modularity for Robot Learning
Next: Research Scientist at Deepmind

Dylan Hadfield-Menell (August 2020)
Thesis: The Principal-Agent Alignment Problem in Artificial Intelligence
Next: Assistant Professor at MIT

Rohin Shah (August 2020)
Thesis: Extracting and Using Preference Information from the State of the World
Next: Research Scientist at Deepmind

Adam Stooke (August 2020)
Thesis: Advancements in Deep Reinforcement Learning: Algorithms and Implementations
Next: Research Scientist at Deepmind

Carlos Florensa Campo (May 2020)
Thesis: What Supervision Scales? Practical Learning Through Interaction
Next: Research Scientist at Covariant.AI

Jonathan Ho (May 2020)
Thesis: Deep Generative Models: Imitation Learning, Image Synthesis, and Compression
Next: Research Scientist at Google Brain (Amsterdam)

Alex Lee (May 2019)
Thesis: Visual Dynamics Models for Robotic Planning and Control
Next: Research Scientist at Deepmind

Sandy Huang (May 2019)
Thesis: Optimizing for Robot Transparency
Next: Research Scientist at Deepmind

Haoran Tang (May 2019)
Thesis: Towards Informed Exploration for Deep Reinforcement Learning
Next: Research Scientist at Covariant.AI

Josh Tobin (May 2019)
Thesis: Real-World Robotics Perception and Control Using Synthetic Data
Next: Research Scientist at OpenAI

Tuomas Haarnoja (December 2018)
Thesis: Acquiring Diverse Robot Skills via Maximum Entropy Deep Reinforcement Learning
Next: Research Scientist at Deepmind

Chelsea Finn (August 2018)
Thesis: Learning to Learn with Gradients
Next: Research Scientist at Google Brain | Post-doc at Berkeley
Next next: Assistant Professor at Stanford University

Bradly Stadie (August 2018)
Thesis: Learning as a Sampling Problem
Next: Post-doc at the University of Toronto

Yan (Rocky) Duan (December 2017)
Thesis: Meta-Learning for Control
Next: Founder / CTO Covariant.AI

John Schulman (December 2016)
Thesis: Optimizing Expectations: From Deep Reinforcement Learning to Stochastic Computation Graphs
Next: Founder / Research Scientist OpenAI

Karthik Narayan (December 2016)
Thesis: Scalable High-Quality 3D Scanning (Thesis talk: pdf, pptx)
Next: Algorithm Developer (aka Quantitative Analyst) at Hudson River Trading LLC

Arjun Singh (August 2016)
Thesis: Benchmarks for Cloud Robotics
Next: Founder / CEO Gradescope

Jeremy Maitin-Shepard (December 2015)
Thesis: Machine Learning and Optimization for Neural Circuit Reconstruction
Next: Google

Tim Hunter (primary advisor: Alex Bayen) (August 2014)
Thesis: Large-Scale, Low-Latency State Estimation Of Cyber-Physical Systems With An Application To Traffic Estimation
Next: DataBricks

Teodor Moldovan (May 2014)
Thesis: Safety, Risk Awareness and Exploration in Reinforcement Learning
Next: Voleon

Woody Hoburg (August 2013)
Thesis: Aircraft Design Optimization as a Geometric Program
Next: One year at Boeing and then Assistant Professor at MIT starting Fall 2014

Aude Hofleitner (primary advisor: Alex Bayen) (May 2013)
Thesis: A Hybrid Approach of Physical Laws and Data-Driven Modeling for Estimation: the Example of Queuing Networks
Next: Facebook

Visitors and Volunteers

Wenling Shang
Amy Zhang
Friso Kingma
Jonas Ruthfuss
Ge Yang
Clemens Eppner
Rein Houthooft
Rosen Kralev
Giulia Vezzani

Masters students

Eddie Groshev (UC Berkeley, CS, 2016)
Christopher Lin (UC Berkeley, CS, 2016)
Weiqiao Han (UC Berkeley, EECS, 2016)
Ali Punjani (UC Berkeley, CS, 2014)
Mallory Tayson-Frederick (UC Berkeley, M.Eng. 2012)
Jie Tang (UC Berkeley, CS, 2011)
Kevin Sartori (visiting scholar from ETHZ, Spring 2010)
Pranav Shah (UC Berkeley, Mech. E., 2010)
Martin Soerensen (visiting scholar from Aalborg University, Fall 2008, Spring 2009)
Anders Friis (visiting scholar from Aalborg University, Fall 2009)

Undergraduate students

Student Class After Graduation NSF NDSEG Hertz CRA
Catherine Cang 2022
Philippe Hansen-Estruch 2022
Wenlong Huang 2022 Stanford, PhD in CS
Xinran Liang 2022 Princeton, PhD in CS
Sean O'Brien 2022 UCSD, PhD in CS
Aaron Putterman 2022 Harvard, PhD in CS
Anika Ramachandran 2022
Katherine Shu 2022
Jeffrey Tao 2022
Ashwin Vangipuram 2022 Stanford, MS in CS
Xiaofei Wang 2022
Yanlai Yang 2022 NYU, PhD in CS
Albert Zhan 2022 MILA, PhD in ML
Mandi Zhao 2022 Columbia, PhD in CS
Kevin Lu 2021 AI Resident, FAIR; Stanford, PhD in CS X
Lili Chen 2021 Cohere; CMU, PhD in CS
Joey Hejna 2021 Stanford, PhD in CS X Honorable Mention
Boyuan Chen 2021 MIT, PhD in CS
Violet Fu 2021 Michigan, PhD in CS
Shivani Kishnani 2021 stealth start-up
Carl Qi 2021 CMU, MS in ML
Boren Tsai 2021 C3AI, GaTech MS
Ruihan (Philip) Zhao 2020 UT Austin, PhD in CS
Julia Peng 2020 Facebook
Sarah Young 2020 CMU, PhD in Robotics
Fenglu Hong 2020 Stanford, MS in CS
Greg Balke 2020 Symbio
Tony Sinclair 2020 Apple
Yiming Ding 2020 Stanford, PhD in CS
Alexander Li 2020 CMU, PhD in CS X
Kara Liu 2020 Stanford, PhD in CS
Evan Lohn 2020 CMU, PhD in CS
Xingyu (Patrick) Lu 2020 Bloomberg
Michael McDonald 2019
Xinyi Ren 2020 Google
Laura Smith 2020 UC Berkeley, PhD in CS X Finalist
Yilin Wu 2020 Stanford, MS in CS
Wilson Yan 2020 UC Berkeley, PhD in CS
Yunzhi Zhang 2020 Covariant.AI | Stanford, PhD in CS Honorable Mention
Menglong Guo 2019 Covariant.AI | MIT, PhD in ME
Philipp Wu 2019 Berkeley, PhD in CS | Covariant.AI X
Annie Xie 2019 Stanford, PhD in CS X
Angelina Wang 2019 Princeton, PhD in CS XX
Dennis Lee 2019 Google Brain AI Residency
Katie Luo 2019 Cornell, PhD in CS
Keiran Paster 2019 Toronto, PhD in CS
Christine Tung 2019 Google
Daniel Ho 2019 Google
Samantha Whathugala 2019 Google
Brent Yi 2019 Stanford, Masters in CS XX
Xiaoyang (Andrew) Bai EECS, 2018 UIUC, PhD in CS
Dian Chen EECS, 2018 UT Austin, PhD in CS
Melissa Chien Applied Math, 2018 Google
Max Goldstein Math/CS, 2018 (Princeton)
Owen Jow EECS, 2018 UCSD, MS in CS
Mitch Lin EECS, 2018 Meraki, SW Eng
YuXuan (Andrew) Liu EECS, 2018 Berkeley, PhD in CS | Covariant.AI X
Nikhil Mishra EECS, 2018 Berkeley, PhD in CS | Covariant.AI X
Mostafa Rohaninejad EECS, 2018 Berkeley, PhD in CS | Covariant.AI
Fred Shentu Math,Stat,CS, 2018 Berkeley, PhD in CS | Covariant.AI
Garrett Thomas EECS, 2018 Stanford, PhD in CS Finalist
Rachel Thomasson ME, 2018 Stanford, PhD in ME X
Adam Villaflor EECS, 2018 CMU, PhD in Robotics
William Wang EECS, 2018 MIT, PhD in CS
Tianhe (Kevin) Yu Math/CS/Stat, 2018 Stanford, PhD in CS
Michael Zhang EECS 2018 Toronto, PhD in CS X
Zhining (Anna) Zhu CS/Stat 2018 Stanford, MS in CS
Allan Zhao EECS 2017 (BS) 2018 (MS) MIT, PhD in CS
Anurag Ajay EECS 2017 MIT, PhD in CS
Xinyang (Young) Geng EECS 2017 G-Brain Resident, UC Berkeley PhD in CS Honorable Mention
Ashvin Nair EECS 2017 UC Berkeley PhD in CS Finalist
Xi (Peter) Chen EECS 2014 UC Berkeley, PhD in CS
Rohan Chitnis EECS 2016 MIT, PhD in CS X X Finalist Runner-Up
Eddie Groshev EECS 2015 Osaro
Weiqiao Han Math/CS/Stat 2015 MIT, PhD in CS
Alex Irpan EECS 2016 Google Brain Residency
Christopher Lin EECS 2015 drive.ai
Nopphon Siranart CS/Stat/Econ 2016 Stanford, PhD in ICME
Marvin Zhang EECS 2016 UC Berkeley, PhD in CS XXHonorable Mention
Tianhao Zhang EECS 2016 UC Berkeley, PhD in CS
Yan (Rocky) Duan Math/CS/Stat 2014 UC Berkeley, PhD in CS
Justin Fu EECS, 2015 Stanford, MS in CS; UC Berkeley, PhD in CS
Robbie Gleichman EECS, 2014 Carbon Robotics
Abhishek Gupta EECS, 2015 UC Berkeley, PhD in CS X X
Gregory Kahn EECS, 2015 UC Berkeley, PhD in CS X X
Nikita Kitaev EECS, 2015 UC Berkeley, PhD in CS X
Henry Lu EECS, 2015 Prism Skylabs
George Mulcaire EECS, 2015 U. of Washington, PhD in CS
James Sha EECS, 2015 Google X
Peter Sujan STAT, 2015 UC Berkeley, MS in STAT
Nolan Wagener EECS, 2015 Georgia Tech, PhD in CS X
Alvin Wong EECS, 2015 USC Games Program, MS
Chris Xie EECS, 2015 U. of Washington, PhD in CS X
Tudor Achim visitor, 2014 Stanford, PhD in CS
Pedro Amaral EECS, 2014 UC Berkeley, PhD in CS
Samaneh Azadi visitor, 2014 UC Berkeley, PhD in CS
Henry Bradlow EECS, 2014 Founder, CTO Lily
Eugene Fang EECS, 2014 CMU, MS, PhD in CS X
Jonathan Ho EECS, 2014 Stanford, PhD in CS X
Ankush Gupta EECS, 2014 Oxford, PhD in CS
Sibi Venkatesan EECS, 2014 CMU, PhD in Robotics Inst.
James Huang EECS, 2013 Shopkick
Alex Lee EECS, 2013 UC Berkeley, PhD in CS X
Cameron Lee EECS, 2013 LinkedIn
Justin Uang EECS, 2013 Palantir Technologies
Ziang Xie EECS, 2013 Stanford, PhD in CS X
Ibrahim Awwal EECS, 2012 UCSD, PhD in CS
Warren He EECS, 2012 UC Berkeley, PhD in CS
Humphrey Hu MechE, 2012 CMU, PhD in Robotics Inst. X
Karthik Lakshmanan EECS, 2012
CMU, PhD in Robotics Inst.
Apoorva Sachdev EECS, 2012 IBM, Singapore
Sameep Tandon EECS, 2012 Stanford, PhD in CS Honorable Mention
John Wang EECS, 2011 Michigan, PhD in CS
Marco Cusumano-Towner EECS, 2011 Stanford, MS in CS; MIT, PhD in CS X X
Stephen Miller EECS, 2011 Stanford, PhD in CS X Fellow Finalist
Ping Chuan (Ted) Wang EECS, 2011 National Instruments
Shervin Javdani EECS, 2010 CMU, PhD in Robotics Inst. X
Svet Kolev EECS, 2010 U. of Washington, PhD in CS
Arjun Singh EECS, 2010 UC Berkeley, PhD in CS X
Jinna Lei Math, CS, 2010 U. of Washington, PhD in CS X
Xiao-Yu Fu EECS, 2009 U. of Michigan, PhD in Mech.E. X
Nimbus Goehausen EECS, 2009 www.fwix.com
Andrew Wan EECS, 2009 www.fwix.com