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] |
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