Robot Learning Lab @UW

The Robot Learning Laboratory at the University of Washington works on foundational research in machine learning, artificial intelligence and robotics. Our goal is to develop intelligent robotic systems that can perceive, plan, and act in complex environments and improve performance with experience.


11/2023 Anqi Li successfully defended her thesis "Exploiting Structure in Learning: A Path Toward Building Safe and Adaptive Robots". Congratulations, Anqi!
11/2023 Boling Yang successfully defended his thesis. Congratulations, Boling!
11/2023 Nolan Wagener successfully defended his Ph.D. Dissertation "Machine Learning for Agile Robotic Control". Congratulations, Nolan!   [Link]
10/2023 Jacob Sacks successfully defended his Ph.D. Dissertation "Learning Novel Stratgies for Model Predictive Control by Leveraging Experience". Congratulations, Jake!
10/2023 Yuxiang Yang successfully passed the UW CSE General Exam. Congratulations Yuxiang!
10/2023 Byron Boots gave a talk on High-Speed Off-Road Autonomy at UT-Austin.
08/2023 Anqi Li is selected as a participant of the EECS Rising Star 2023 Workshop.   [Link]
06/2023 Sandeep Reddy and Rama Krishna successfully completed their Master's degrees. Congratulations, Sandeep and Rama!
06/2023 Carolina Higuera, Byron Boots and Mustafa Mukadam received the Best Paper Award for the paper 'Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models' at the Workshop on Effective Representations, Abstractions, and Priors for Robot Learning (ICRA 2023).
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