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.
| 10/2024 | Tyler Han successfully passed the Qualifying Evaluation. Congratulations, Tyler! |
| 10/2024 | Sanghun Jung successfully passed the Qualifying Evaluation. Congratulations, Sanghun! |
| 09/2024 | Carolina Higuera received the ICRA 2024 Conference Editorial Board Outstanding Reviewers Award. Congratulations, Carolina! |
| 05/2024 | Adam Fishman successfully defended his thesis "The Expert is the Obstacle: Building a General Framework for Learned Robot Motion". Congratulations Adam! |
| 04/2024 | Sandesh Adhikary successfully passed the UW CSE General Exam. Congratulations Sandesh! |
| 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] |
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