Byron Boots
Professor
Develops robot learning methods combining machine learning, control and perception, including off-road autonomous driving.
Byron Boots's lab at UW works on manipulation & robot learning, autonomous vehicles & drones and embodied & active vision. 28 papers since 2023. 8 PhD students and 2 master's students. 47 alumni, most often to Meta and NVIDIA. Applications close .
At a glance
- papers, 2023–2026
- 7/ year
- at T1 venues
- 0%
- PhD students
- 8
- MS students
- 2
- alumni listed
- 47
Papers by yearfrom the lab homepage, 2023–2026
- 0 papers2026 · T1 0 · collecting
- 6 papers2025 · T1 0
- 7 papers2024 · T1 0
- 15 papers2023 · T1 0
T1 venuesOther
Research focuspaper titles that use each topic's words
- Manipulation & robot learning9 papers
- Autonomous vehicles & drones1 paper
- Embodied & active vision1 paper
- combining machine0 papers
- develops robot0 papers
Paper list
From the lab homepage.
20256 papers
- International Conference on Computer Vision (ICCV)Details Matter for Indoor Open-vocabulary 3D Instance Segmentation
- Conference on Robot Learning (CoRL)Long Range Navigator (LRN) : Extending robot planning horizons beyond metric maps
- Conference on Robot Learning (CoRL)Self-supervised perception for tactile skin covered dexterous hands
- Conference on Robot Learning (CoRL)Tactile Beyond Pixels: Multisensory Touch Representations for Robot Manipulation
- Conference on Robot Learning (CoRL)Uncertainty-aware Accurate Elevation Modeling for Off-road Navigation via Neural Processes
- Conference on Robot Learning (CoRL)Wheeled Lab: Modern Sim2Real for Low-cost, Open-source Wheeled Robotics
20247 papers
- International Conference on Machine Learning (ICML)BeigeMaps: Behavioral Eigenmaps for Representation Learning from Images
- International Conference on Learning Representations (ICLR)H-GAP: Humanoid Control with a Generalist Planner
- Robotics: Science and Systems (R:SS)Model Predictive Control for Aggressive Driving Over Uneven Terrain
- IEEE International Conference on Robotics and Automation (ICRA)Multi-Sample Long Range Path Planning under Sensing Uncertainty for Off-Road Autonomous Driving
- Conference on Robot Learning (CoRL)Sparsh: Self-supervised touch representations for vision-based tactile sensing
- IEEE International Conference on Robotics and Automation (ICRA)Toward Self-Righting and Recovery in the Wild: Challenges and Benchmarks
- IEEE International Conference on Robotics and Automation (ICRA)V-STRONG: Visual Self-Supervised Traversability Learning for Off-road Navigation
202315 papers
- Advances in Neural Information Processing Systems (NeurIPS)Adversarial Model for Offline Reinforcement Learning
- IEEE International Conference on Robotics and Automation (ICRA)CabiNet: Scaling Neural Collision Detection for Object Rearrangement with Procedural Scene Generation
- International Conference on Computer Vision (ICCV)CAFA: Class-aware Feature Alignment for Test-time Adaptation
- Conference on Robot Learning (CoRL)CAJun: Continuous Adaptive Jumping using a Learned Centroidal Controller
- The International Journal of Robotics Research (IJRR)Composable Energy Policies for Reactive Motion Generation and Reinforcement Learning
- Learning for Dynamics & Control (L4DC)Continuous Versatile Jumping Using Learned Action Residuals
- IEEE International Conference on Robotics and Automation (ICRA)CuRobo: Parallelized Collision-Free Robot Motion Generation
- Conference on Robot Learning (CoRL)DATT: Deep Adaptive Trajectory Tracking for Quadrotor Control
- Conference on Robot Learning (CoRL)DYNAMO-GRASP: DYNAMics-aware Optimization for GRASP Point Detection in Suction Grippers
- IEEE International Conference on Robotics and Automation (ICRA)Guided Incremental Local Densification for Accelerated Sampling-based Motion Planning
- International Conference on Computer Vision (ICCV)LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation
- International Conference on Machine Learning (ICML)MAHALO: Unifying Offline Reinforcement Learning and Imitation Learning from Observations
Where alumni went47 listed, 79% to industry
Industry 31Academia 8
Most often to
- Meta
- NVIDIA
- Overland AI
Also to
- Carnegie Mellon University
- Caltech
- Mila
Apply to UWFall 2027
UW Allen School Computer Science PhD
- Round
- Single round
- Opens
- GRE
- not required
- English
- See program page
- Fee
- See program page
Not yet confirmed for this intake.
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