Mustafa Mukadam
Mustafa Mukadam
Research Scientist, Facebook AI Research
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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
652016
Gaussian Process Motion Planning
M Mukadam, X Yan, B Boots
Robotics and Automation (ICRA), 2016 IEEE International Conference on, 9-15, 2016
542016
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
452018
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
402017
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
282017
Simultaneous Trajectory Estimation and Planning via Probabilistic Inference
M Mukadam, J Dong, F Dellaert, B Boots
Proceedings of Robotics: Science and Systems XIII, 2017
162017
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
152017
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
122018
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
122014
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
112017
STEAP: simultaneous trajectory estimation and planning
M Mukadam, J Dong, F Dellaert, B Boots
Autonomous Robots 43 (2), 415-434, 2018
72018
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
42019
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
32019
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
32018
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
32017
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
22020
Differentiable Gaussian process motion planning
M Bhardwaj, B Boots, M Mukadam
Robotics and Automation (ICRA), 2020 IEEE International Conference on, 2020
22020
Sparse Gaussian Processes on Matrix Lie Groups: A Unified Framework for Optimizing Continuous-Time Trajectories
J Dong, M Mukadam, B Boots, F Dellaert
Robotics and Automation (ICRA), 2018 IEEE International Conference on, 2018
22018
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
12019
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
2019
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Artiklar 1–20