News · Robot Learning Lab

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]
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!
06/2023	Carolina Higuera, Byron Boots and Mustafa Mukadam received the Best Paper Award for the paper 'Learning to Read Braille: Bridging the Tactile Reality Gap with Diffusion Models' at the Workshop on Effective Representations, Abstractions, and Priors for Robot Learning (ICRA 2023).
06/2023	Carolina Higuera successfully passed the Qualifying Evaluation. Congratulations, Carolina!
05/2023	Anqi Li, Byron Boots and collaborators' paper 'Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior' was selected as the RA-L Best Paper.
04/2023	We have released a new RACER video on our YouTube Channel! [Link]
03/2023	The UW team successfully completed DARPA RACER Experiment 3! Check out the DARPA article and video that featured us! [Link]
03/2023	Jacob Sacks successfully passed the General Exam. Congratulations Jake!
03/2023	Tyler Han was awarded the NSF Graduate Research Fellowship. Congratulations Tyler!
01/2023	4 papers accepted at ICRA! Congrats to Carolina, Rosario, Boling, and Adam! [Link]
11/2022	The UW RACER team website is live! [Link]
11/2022	Byron Boots gave a talk on Machine Learning and Model Predictive Control for Adaptive Robotic Systems at the Robotics Institute Seminar Series at CMU. [Link]
10/2022	Byron Boots gave a talk on Machine Learning and Model Predictive Control for Adaptive Robotic Systems at the Computational Sensorimotor Learning Seminar at MIT. [Link]
10/2022	Byron Boots gave a talk on Machine Learning for Agile Off-Road Autonomous Driving at the Cyber-Physical Systems Seminar Series at USC.
09/2022	Byron Boots was appointed to the Amazon Professorship in Machine Learning at the University of Washington!
09/2022	Carolina Higuera gave a spotlight talk on Neural Contact Fields for Tracking Extrinsic Contact at the EAI seminar, FAIR.
09/2022	Nolan Wagener gave a talk on MoCapAct at the University of Toronto AI in Robotics Seminar. [Link]
09/2022	Rosario Scalise successfully passed the Qualifying Evaluation. Congratulations, Rosario!
08/2022	Byron Boots is a recipient of the 2022 DARPA Young Faculty Award!
08/2022	Siddarth Srinivasan successfully defended his Ph.D. Dissertation "Quantum-inspired Machine Learning with Hidden Quantum Markov Models and Tensor Networks." Congratulations, Sid!
06/2022	Brian Lee and Jakub Filipek successfully completed their Master's degrees. Congratulations, Brian and Jakub!
05/2022	Siddarth Srinivasan successfully passed the General Exam. Congratulations, Sid!
05/2022	Byron Boots gave a talk on Aggressive, Resilient, High-Speed Navigation in Off-Road Terrain at the Pacific Northwest Regional Meeting of the National Academy of Engineering. [Link]
05/2022	Mohak Bhardwaj successfully passed the General Exam. Congratulations, Mohak!
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 University 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]