News

03/2022 Yuxiang Yang successfully passed the Qualifying Evaluation. Congratulations, Yuxiang!
03/2022 The Robot Learning Lab has its very own YouTube Channel!   [Link]
03/2022 The Univerity of Washington will participate in the DARPA's off-road autonomous driving program RACER.   [Link]
02/2022 Byron Boots gave a talk at TU Darmstadt on Machine Learning and Model Predictive Control for Adaptive Robotic Systems.
11/2021 Byron Boots gave a tutorial talk on 'Machine Learning Perspectives on Model Predictive Control' at CoRL-2021.   [Link]
11/2021 Yuxiang Yang, Byron Boots and collaborators' paper 'Fast and Efficient Locomotion via Learned Gait Transitions' was selected as finalist for Best Systems Paper at CoRL-2021.
11/2021 Mohak Bhardwaj gave a talk on his paper 'STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation' at CoRL-2021.
11/2021 Boling Yang gave a talk on his paper 'Motivating Physical Activity via Competitive Human-Robot Interaction' at CoRL-2021.
11/2021 Adam Fishman successfully passed the Qualifying Evaluation. Congratulations, Adam!
11/2021 Jacob Sacks successfully passed the Qualifying Evaluation. Congratulations, Jake!
09/2021 Three papers accepted as Oral Presentations to CoRL!!
07/2021 Nolan Wagener successfully passed his Ph.D. proposal at Georgia Tech. Congratulations, Nolan!   [Link]
07/2021 Sandesh Adhikary and Josie Thompson won the Best Workshop Paper Award for "Sampling over Riemannian Manifolds with Kernel Herding" at the RSS 2021 workshop on Geometry and Topology in Robotics!   [Link]
07/2021 Anqi Li gave an invited talk at the RSS 2021 workshop on Geometry and Topology in Robotics.   [Link]
07/2021 The Robot Learning Lab's research was featured by the U.S. Army Research Laboratory.   [Link]
05/2021 Sasha Lambert successfully defended his Ph.D. Dissertation "Of Priors and Particles: Structured and Distributed Approaches to Robot Perception and Control." Congratulations, Sasha!
05/2021 Anqi Li successfully passed the UW CSE General Exam. Congratulations Anqi!
05/2021 Byron Boots gave an invited talk at the Intelligent Systems Seminar at Johns Hopkins Applied Physics Laboratory.
05/2021 Anqi Li gave an invited talk at the Robotics Seminar at UIUC.
04/2021 Byron Boots gave an invited talk at the GRASP On Robotics Seminar at the University of Pennsylvania.
12/2020 Byron Boots gave a keynote talk at the NeurIPS workshop on Machine Learning for Autonomous Driving.
08/2020 The Robot Learning Lab is excited to announce that it is part of the new NSF AI Institute on Foundations of Machine Learning with colleagues at UW, UT Austin, MSR, and Wichita State.   [Link]
07/2020 Byron Boots wins the Robotics: Science and Systems Early Career Award!   [Link]
07/2020 Byron Boots gave a keynote talk at the RSS Workshop on Structured Approaches to Robot Learning.   [Link]
07/2020 Byron Boots gave a keynote talk at the RSS Workshop on Advances in Imitation Learning for Robotics.   [Link]
06/2020 Xinyan Yan successfully defended his Ph.D. Dissertation "Efficient Trajectory and Policy Optimization Using Dynamics Models." Congratulations, Xinyan!
06/2020 Byron Boots gave a keynote talk at the ICRA Workshop on Shared Autonomy: Learning and Control.   [Link]
05/2020 The Robot Learning Lab partners with the U.S. Army Research Lab to develop new approaches to off-road autonomy.   [Link]
05/2020 Amirreza Shaban successfully defended his Ph.D. Dissertation "Low-Shot Learning for Object Recognition, Detection, and Segmentation." Congratulations, Amir!
02/2020 Anqi Li was awarded the NVIDIA Graduate Fellowship. Congratulations Anqi!   [Link]
12/2019 Ching-An Cheng successfully defended his Ph.D. Dissertation "Efficient and Principled Robot Learning: Theory and Algorithms." Congratulations, Ching-An!
12/2019 Ching-An Cheng won the Best Paper Award for "Continuous Online Learning and New Insights to Online Imitation Learning" at the NeurIPS Workshop on Optimization Foundations for Reinforcement Learning!   [Link]
10/2019 Byron Boots gave a keynote talk at the IROS Workshop on Learning Representations for Planning and Control.   [Link]
09/2019 The Robot Learning Laboratory moves to the University of Washington!   [Link]