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.
03/2024 | Mohak Bhardwaj successfully defended his thesis "When Models Meet Data: Pragmatic Robot Learning with Model-based Optimization". Congratulations, Mohak! |
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! |
Copyright © Robot Learning Lab 2022
Template from robotics.cs.washington.edu