See full list of publications and citations on my google scholar page. PreprintDifferentiable Gaussian Process Motion Planning Mohak Bhardwaj, Byron Boots, & Mustafa Mukadam
Structured Learning and Inference for Robot Motion Generation Ph.D. Dissertation, Georgia Institute of Technology, 2019 Multi-Objective Policy Generation for Multi-Robot Systems Using Riemannian Motion Policies Anqi Li, Mustafa Mukadam, Magnus Egerstedt, & Byron Boots International Symposium on Robotics Research (ISRR), 2019 Online Motion Planning Over Multiple Homotopy Classes with Gaussian Process Inference Keshav Kolur*, Sahit Chintalapudi*, Byron Boots, & Mustafa Mukadam International Conference on Intelligent Robots and Systems (IROS), 2019 Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing Alexander Lambert, Mustafa Mukadam, Balakumar Sundaralingam, Nathan Ratliff, Byron Boots, & Dieter Fox. International Conference on Robotics and Automation (ICRA), 2019
RMPflow: A Computational Graph for Automatic Motion Policy Generation Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, & Nathan Ratliff International Workshop on the Algorithmic Foundations of Robotics (WAFR), 2018 Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments Asif Rana, Mustafa Mukadam, Reza Ahmadzadeh, Sonia Chernova, & Byron Boots International Conference on Intelligent Robots and Systems (IROS), 2018 STEAP: Simultaneous Trajectory Estimation and Planning Mustafa Mukadam*, Jing Dong*, Frank Dellaert, & Byron Boots Autonomous Robots (AuRo), 2018 Invited Paper from RSS 2017 Continuous-Time Gaussian Process Motion Planning via Probabilistic Inference Mustafa Mukadam*, Jing Dong*, Xinyan Yan, Frank Dellaert, & Byron Boots International Journal of Robotics Research (IJRR), 2018 Winner of IJRR Paper of the Year Award Sparse Gaussian Processes on Matrix Lie Groups: A Unified Framework for Optimizing Continuous-Time Trajectories Jing Dong, Mustafa Mukadam, Byron Boots, & Frank Dellaert International Conference on Robotics and Automation (ICRA), 2018
Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning Asif Rana, Mustafa Mukadam, Reza Ahmadzadeh, Sonia Chernova, & Byron Boots Conference on Robot Learning (CoRL), 2017 Long Talk, 8% Acceptance Rate Simultaneous Trajectory Estimation and Planning via Probabilistic Inference Mustafa Mukadam, Jing Dong, Frank Dellaert, & Byron Boots Robotics: Science and Systems (RSS), 2017 Approximately Optimal Continuous-Time Motion Planning and Control via Probabilistic Inference Mustafa Mukadam, Ching-An Cheng, Xinyan Yan, & Byron Boots International Conference on Robotics and Automation (ICRA), 2017 Motion Planning with Graph-Based Trajectories and Gaussian Process Inference Eric Huang, Mustafa Mukadam, Zhen Liu, & Byron Boots International Conference on Robotics and Automation (ICRA), 2017
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs Jing Dong, Mustafa Mukadam, Frank Dellaert, & Byron Boots Robotics: Science and Systems (RSS), 2016 Gaussian Process Motion Planning Mustafa Mukadam, Xinyan Yan, & Byron Boots International Conference on Robotics and Automation (ICRA), 2016
Quasi-static Manipulation of a Planar Elastic Rod using Multiple Robotic Grippers Mustafa Mukadam, Andy Borum, & Timothy Bretl International Conference on Intelligent Robots and Systems (IROS), 2014
Autonomous Vehicle Policy Generation Mustafa Mukadam, Akansel Cosgun, Alireza Nakhaei, & Kikuo Fujimura US Patent App. 16/103,847, 2019
Interaction-Aware Planning via Nash Equilibria for Manipulation in a Shared Workspace Shray Bansal, Mustafa Mukadam, & Charles Isbell ICRA Workshop on Human Movement Science for Physical Human-Robot Collaboration, 2019 Robot Skill Learning from Demonstrations in Cluttered Environments Asif Rana, Mustafa Mukadam, Reza Ahmadzadeh, Sonia Chernova, & Byron Boots RSS Workshop on Learning and Inference in Robotics: Integrating Structure, Priors and Models, 2018 Tactical Decision Making for Lane Changing with Deep Reinforcement Learning Mustafa Mukadam, Akansel Cosgun, Alireza Nakhaei, & Kikuo Fujimura NIPS Workshop on Machine Learning for Intelligent Transportation Systems, 2017 STEAP: Towards Online Estimation and Replanning Mustafa Mukadam, Jing Dong, Frank Dellaert, & Byron Boots RSS Workshop on POMDPs in Robotics, 2017 Towards Robust Skill Generalization: Unifying LfD and Motion Planning Asif Rana, Mustafa Mukadam, Reza Ahmadzadeh, Sonia Chernova, & Byron Boots RSS Workshop on Data-Driven Robotic Manipulation, 2017 Skill Generalization via Inference-based Planning Asif Rana, Mustafa Mukadam, Reza Ahmadzadeh, Sonia Chernova, & Byron Boots RSS Workshop on Mathematical Models, Algorithms, and Human-Robot Interaction, 2017
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