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.
| 06/2025 | Matthew Schmittle, Rohan Baijal, Nathan Hatch, Rosario Scalise, Mateo Guaman Castro, Sidharth Talia, Khimya Khetarpal, Siddhartha Srinivasa, Byron Boots received the Best Workshop Paper Award for the paper 'Long Range Navigator (LRN): Extending robot planning horizons beyond metric maps' at the Workshop on Resilient Off-road Autonomous Robotics (RSS-ROAR 2025)! |
| 05/2025 | Sandesh Adhikary successfully defended his thesis "Mind the Metric: Metric-Informed Methods in Machine Learning". Congratulations, Sandesh! |
| 05/2025 | Carolina Higuera successfully passed the UW CSE General Exam. Congratulations, Carolina! |
| 10/2024 | Octi Zhang, Quanquan Peng, Rosario Scalise, Bryon Boots received the Best Workshop Paper Award for the paper 'Parental Guidance: Efficient Lifelong Learning through Evolutionary Distillation' at the Workshop on Morphology-Aware Policy and Design Learning Workshop (CoRL 2024)! |
| 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! |
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