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Stanford University
- Palo Alto, CA
Stanford Interactive Perception and Robot Learning Lab
stanford-iprl-lab
We seek to understand the underlying principles of robust sensorimotor coordination by implementing them on robots. This is the place for our Open Source code.
Stanford
Rika
contactrika
Data-efficient Autonomous Learning (reinforcement learning, sim-to-real transfer, active learning, robotics)
Stanford San Francisco, CA
Kwesi Rutledge
kwesiRutledge
Robotics Controls Engineer @aescape-inc and Full-Stack Developer @The-Velo-Network . Formerly, Robotics Researcher @robustrobotics, @MIT-REALM, and @ozay-group
@aescape-inc New York City, NY
Nima Fazeli
Nima-Fazeli
Assistant Professor of Robotics,
Affiliate Faculty of CSE and ME,
University of Michigan
University of Michigan Ann Arbor, MI
Houming Chen
HoumingChen
Student @ the University of Michigan
Linkedin: https://www.linkedin.com/in/houming-chen-51a4a1195/