Scholar
Kevin Black
Google Scholar ID: axX7PCwAAAAJ
University of California - Berkeley
Citations & Impact
Citations
4,305
H-index
14
i10-index
16
Publications
17
Co-authors
0
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
- 1. Real-Time Execution of Action Chunking Flow Policies, NeurIPS (2025)
- 2. π0: A Vision-Language-Action Flow Model for General Robot Control, Robotics: Science and Systems (2025)
- 3. Octo: An Open-Source Generalist Robot Policy, Robotics: Science and Systems (2024)
- 4. Zero-Shot Robotic Manipulation with Pretrained Image-Editing Diffusion Models, International Conference on Learning Representations (2024)
- 5. Training Diffusion Models with Reinforcement Learning, International Conference on Learning Representations (2024)
- 6. BridgeData V2: A Dataset for Robot Learning at Scale, Conference on Robot Learning (2023)
- 7. Flight-Ready, Non-Cooperative Spacecraft Pose Estimation Using Monocular Imagery, AAS/AIAA Space Flight Mechanics Meeting (2021)
Research Experience
- 1. Researcher at Physical Intelligence
- 2. Worked on the Seeker mission at the Texas Spacecraft Laboratory
- 3. Involved in multiple research projects such as Octo, DLimp, etc.
Education
- 1. PhD - Berkeley AI, Advisor: Sergey Levine
- 2. Bachelor's - University of Texas at Austin, Advisor: Scott Niekum
- 3. Member - Turing Scholars and Dean's Scholars honors programs
Background
- Research interests include physical intelligence. Currently a researcher at Physical Intelligence and a PhD student at Berkeley AI, advised by Sergey Levine. Previously, graduated from UT Austin where he worked with Scott Niekum. Also worked on the Seeker mission as part of the Texas Spacecraft Laboratory.
Miscellany
- Personal interests and hobbies include developing open-source projects like Octo, DLimp, Starfish, and participating in hackathons such as HackMIT and HackDFW.
Co-authors