Mustafa Mukadam
Mustafa Mukadam
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Cited by
Habitat 2.0: Training home assistants to rearrange their habitat
A Szot, A Clegg, E Undersander, E Wijmans, Y Zhao, J Turner, N Maestre, ...
Neural Information Processing Systems (NeurIPS), 2021
Continuous-time Gaussian process motion planning via probabilistic inference
M Mukadam, J Dong, X Yan, F Dellaert, B Boots
International Journal of Robotics Research (IJRR), 2018
Motion Planning as Probabilistic Inference using Gaussian Processes and Factor Graphs
J Dong, M Mukadam, F Dellaert, B Boots
Robotics: Science and Systems (RSS), 2016
Gaussian Process Motion Planning
M Mukadam, X Yan, B Boots
International Conference on Robotics and Automation (ICRA), 2016
Where2act: From pixels to actions for articulated 3d objects
K Mo, L Guibas, M Mukadam, A Gupta, S Tulsiani
International Conference on Computer Vision (ICCV), 2021
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
iSDF: Real-Time Neural Signed Distance Fields for Robot Perception
J Ortiz, A Clegg, J Dong, E Sucar, D Novotny, M Zollhoefer, M Mukadam
Robotics: Science and Systems (RSS), 2022
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
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
Neural Dynamic Policies for End-to-End Sensorimotor Learning
S Bahl, M Mukadam, A Gupta, D Pathak
Neural Information Processing Systems (NeurIPS), 2020
Theseus: A library for differentiable nonlinear optimization
L Pineda, T Fan, M Monge, S Venkataraman, P Sodhi, R Chen, J Ortiz, ...
Neural Information Processing Systems (NeurIPS), 2022
No RL, No Simulation: Learning to Navigate without Navigating
M Hahn, D Chaplot, S Tulsiani, M Mukadam, JM Rehg, A Gupta
Neural Information Processing Systems (NeurIPS), 2021
Differentiable Gaussian process motion planning
M Bhardwaj, B Boots, M Mukadam
International Conference on Robotics and Automation (ICRA), 2020
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
TASKOGRAPHY: Evaluating robot task planning over large 3D scene graphs
C Agia, KM Jatavallabhula, M Khodeir, O Miksik, V Vineet, M Mukadam, ...
Conference on Robot Learning (CoRL), 2021
Learning Tactile Models for Factor Graph-based Estimation
P Sodhi, M Kaess, M Mukadam, S Anderson
International Conference on Robotics and Automation (ICRA), 2021
STEAP: simultaneous trajectory estimation and planning
M Mukadam, J Dong, F Dellaert, B Boots
Autonomous Robots (AuRo), 2018
RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies
CA Cheng, M Mukadam, J Issac, S Birchfield, D Fox, B Boots, N Ratliff
Transactions on Automation Science and Engineering (T-ASE), 2020
Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing
A Lambert, M Mukadam, B Sundaralingam, N Ratliff, B Boots, D Fox
International Conference on Robotics and Automation (ICRA), 2019
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
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