Awards

2021

Best Systems Paper Award, Finalist, Yuxiang Yang, Tingnan Zhang, Erwin Coumans, Jie Tan, Byron Boots for Fast and Efficient Locomotion via Learned Gait Transitions at the Conference on Robot Learning (CoRL)

Best Paper Award, Sandesh Adhikary, Josie Thompson, Byron Boots for Sampling over Riemannian Manifolds with Kernel Herding at the RSS Workshop on Geometry and Topology in Robotics

Best Paper Award, Daolin Ma, Siyuan Dong, Alberto Rodriguez for Extrinsic Contact Sensing with Relative-Motion Tracking from Distributed Tactile Measurements at the International Conference on Robotics and Automation (ICRA)

2020

Early Career Award, Byron Boots from Robotics: Science and Systems (R:SS)

NVIDIA Graduate Fellowship, Anqi Li from NVIDIA

2019

Best Paper Award, Jonathan Lee, Ching-An Cheng, Ken Goldberg, Byron Boots for Continuous Online Learning and New Insights into Online Imitation Learning at the NeurIPS Workshop on Optimization Foundations for Reinforcement Learning

Best Student Paper Award, Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots for An Online Learning Approach to Model Predictive Control at Robotics: Science and Systems (R:SS)

Best Systems Paper Award, Finalist, Nolan Wagener, Ching-An Cheng, Jacob Sacks, Byron Boots for An Online Learning Approach to Model Predictive Control at Robotics: Science and Systems (R:SS)

The 2018 Paper of the Year Award, Mustafa Mukadam, Jing Dong, Xinyan Yan, Frank Dellaert, Byron Boots for Continuous-time Gaussian Process Motion Planning via Probabilistic Inference from the International Journal of Robotics Research (IJRR)

Outstanding Junior Faculty Research Award, Byron Boots from the College of Computing, Georgia Tech

Best Manipulation Paper Award, Finalist, Balakumar Sundaralingam, Alexander Lambert, Ankur Handa, Byron Boots, Tucker Hermans, Stan Birchfield, Nathan Ratliff, Dieter Fox for Robust Learning of Tactile Force Estimation through Robot Interaction from the International Conference on Robotics and Automation (ICRA)

Amazon Research Award, Byron Boots for Learning Safe, Stable, and Interpretable Motion Policies from Data from Amazon

NVIDIA Graduate Fellowship, Ching-An Cheng from NVIDIA

2018

NSF CAREER Award, Byron Boots for Designing Robots that Learn: Closing the Gap Between Machine Learning and Engineering from the National Science Foundation

Best Systems Paper Award, Finalist, Yunpeng Pan, Ching-An Cheng, Kamil Saigol, Keuntaek Lee, Xinyan Yan, Evangelos Theodorou, Byron Boots for Agile Autonomous Driving via End-to-End Deep Imitation Learning at Robotics: Science and Systems (R:SS)

Best Paper Award, Ching-An Cheng, Byron Boots for Convergence of Value Aggregation for Imitation Learning at the International Conference on Artificial Intelligence and Statistics (AISTATS)

2017

Best Paper Award, Finalist, Grady Williams, Nolan Wagener, Brian Goldfain, Paul Drews, James M. Rehg, Byron Boots, Evangelos A. Theodorou for Information Theoretic MPC for Model-Based Reinforcement Learning at the International Conference on Robotics and Automation (ICRA)

4th Place, Amirreza Shaban, Alrik Firl, Ahmad Humayun, Jialin Yuan, Xinyao Wang, Peng Lei, Nikhil Dhanda, Byron Boots, James M. Rehg, Fuxin Li for Multiple-Instance Video Segmentation with Sequence-Specific Object Proposals at the 2017 DAVIS Challenge on Video Object Segmentation

2015

NDSEG Fellowship, Jacob Sacks, from the Department of Defense

NSF Graduate Research Fellowship, Nolan Wagener, from the National Science Foundation

Best Paper Award, Xinyan Yan, Vadim Indelman, Byron Boots for Incremental Sparse GP Regression for Continuous-time Trajectory Estimation & Mapping at the R:SS Workshop on the Problem of Mobile Sensors

"Thank a Teacher" Award, Byron Boots from the Center for the Enhancement of Teaching & Learning, Georgia Tech

NSF CRII Award, Byron Boots for Semiparametric Approaches to Learning Robot Dynamics from the National Science Foundation

2010

Best Paper Award, for Hilbert Space Embeddings of Hidden Markov Models at the International Conference on Machine Learning (ICML)