| Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs J Dong, M Mukadam, F Dellaert, B Boots Proceedings of Robotics: Science and Systems XII, 2016 | 81 | 2016 |
| Gaussian Process Motion Planning M Mukadam, X Yan, B Boots Robotics and Automation (ICRA), 2016 IEEE International Conference on, 9-15, 2016 | 75 | 2016 |
| Continuous-time Gaussian process motion planning via probabilistic inference M Mukadam, J Dong, X Yan, F Dellaert, B Boots The International Journal of Robotics Research 37 (11), 1319-1340, 2018 | 71 | 2018 |
| Tactical Decision Making for Lane Changing with Deep Reinforcement Learning M Mukadam, A Cosgun, A Nakhaei, K Fujimura NIPS 2017 Workshop on Machine Learning for Intelligent Transportation Systems, 2017 | 56 | 2017 |
| Towards robust skill generalization: Unifying learning from demonstration and motion planning MA Rana, M Mukadam, SR Ahmadzadeh, S Chernova, B Boots Conference on Robot Learning (CoRL), 2017 | 53 | 2017 |
| RMPflow: A computational graph for automatic motion policy generation CA Cheng, M Mukadam, J Issac, S Birchfield, D Fox, B Boots, N Ratliff Algorithmic Foundations of Robotics (WAFR), 2018 | 34 | 2018 |
| Simultaneous Trajectory Estimation and Planning via Probabilistic Inference M Mukadam, J Dong, F Dellaert, B Boots Proceedings of Robotics: Science and Systems XIII, 2017 | 20 | 2017 |
| Motion planning with graph-based trajectories and Gaussian process inference E Huang, M Mukadam, Z Liu, B Boots 2017 IEEE International Conference on Robotics and Automation (ICRA), 5591-5598, 2017 | 16 | 2017 |
| Approximately optimal continuous-time motion planning and control via probabilistic inference M Mukadam, CA Cheng, X Yan, B Boots Robotics and Automation (ICRA), 2017 IEEE International Conference on, 664-671, 2017 | 14 | 2017 |
| Quasi-static manipulation of a planar elastic rod using multiple robotic grippers M Mukadam, A Borum, T Bretl Intelligent Robots and Systems (IROS), 2014 IEEE/RSJ International …, 2014 | 13 | 2014 |
| Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing A Lambert, M Mukadam, B Sundaralingam, N Ratliff, B Boots, D Fox Robotics and Automation (ICRA), 2019 IEEE International Conference on, 2019 | 12 | 2019 |
| Differentiable Gaussian process motion planning M Bhardwaj, B Boots, M Mukadam Robotics and Automation (ICRA), 2020 IEEE International Conference on, 2020 | 11 | 2020 |
| STEAP: simultaneous trajectory estimation and planning M Mukadam, J Dong, F Dellaert, B Boots Autonomous Robots 43 (2), 415-434, 2018 | 10 | 2018 |
| Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations MA Rana, A Li, H Ravichandar, M Mukadam, S Chernova, D Fox, B Boots, ... Conference on Robot Learning (CoRL), 2019 | 9 | 2019 |
| Encoding Physical Constraints in Differentiable Newton-Euler Algorithm G Sutanto, A Wang, Y Lin, M Mukadam, G Sukhatme, A Rai, F Meier Learning for Dynamics and Control (L4DC), 2020 | 8 | 2020 |
| Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping M Mukadam, CA Cheng, D Fox, B Boots, N Ratliff Conference on Robot Learning (CoRL), 2019 | 7 | 2019 |
| Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies A Li, M Mukadam, M Egerstedt, B Boots International Symposium on Robotics Research (ISRR), 2019 | 7 | 2019 |
| Skill generalization via inference-based planning MA Rana, M Mukadam, SR Ahmadzadeh, S Chernova, B Boots RSS 2017 Workshop on Mathematical Models, Algorithms, and Human-Robot …, 2017 | 5 | 2017 |
| Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments MA Rana, M Mukadam, SR Ahmadzadeh, S Chernova, B Boots Intelligent Robots and Systems (IROS), 2014 IEEE/RSJ International Conference on, 2018 | 4 | 2018 |
| Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference K Kolur, S Chintalapudi, B Boots, M Mukadam Intelligent Robots and Systems (IROS), 2019 IEEE/RSJ International Conference on, 2019 | 3 | 2019 |
Byron BootsAssociate Professor, University of WashingtonVerified email at cs.washington.edu
