Muhammad Asif Rana

According to our database, Muhammad Asif Rana authored at least 17 papers between 2016 and 2022.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2022

Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior.

Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana, Buck Babich, Bryan Peele, Qian Wan, Iretiayo Akinola, Balakumar Sundaralingam, Dieter Fox, Byron Boots, Nathan D. Ratliff

IEEE Robotics Autom. Lett., 2022

2021

Methods for Teaching Diverse Robot Skills: Leveraging Priors, Geometry, and Dynamics.

Muhammad Asif Rana

PhD thesis, 2021

RMP2: A Structured Composable Policy Class for Robot Learning.

Anqi Li, Ching-An Cheng, Muhammad Asif Rana, Man Xie, Karl Van Wyk, Nathan D. Ratliff, Byron Boots

Proceedings of the Robotics: Science and Systems XVII, Virtual Event, July 12-16, 2021., 2021

Towards Coordinated Robot Motions: End-to-End Learning of Motion Policies on Transform Trees.

Muhammad Asif Rana, Anqi Li, Dieter Fox, Sonia Chernova, Byron Boots, Nathan D. Ratliff

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Generalized Nonlinear and Finsler Geometry for Robotics.

Nathan D. Ratliff, Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana

Proceedings of the IEEE International Conference on Robotics and Automation, 2021

2020

Optimization Fabrics for Behavioral Design.

Nathan D. Ratliff, Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana

CoRR, 2020

Geometric Fabrics for the Acceleration-based Design of Robotic Motion.

Mandy Xie, Karl Van Wyk, Anqi Li, Muhammad Asif Rana, Dieter Fox, Byron Boots, Nathan D. Ratliff

CoRR, 2020

Optimization Fabrics.

Nathan D. Ratliff, Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana

CoRR, 2020

Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems.

Muhammad Asif Rana, Anqi Li, Dieter Fox, Byron Boots, Fabio Ramos, Nathan D. Ratliff

Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Benchmark for Skill Learning from Demonstration: Impact of User Experience, Task Complexity, and Start Configuration on Performance.

Muhammad Asif Rana, Daphne Chen, Jacob Williams, Vivian Chu, Seyed Reza Ahmadzadeh, Sonia Chernova

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Taking Recoveries to Task: Recovery-Driven Development for Recipe-Based Robot Tasks.

Siddhartha Banerjee, Angel Andres Daruna, David Kent, Weiyu Liu, Jonathan C. Balloch, Abhinav Jain, Akshay Krishnan, Muhammad Asif Rana, Harish Ravichandar, Binit Shah, Nithin Shrivatsav Srikanth, Sonia Chernova

Proceedings of the Robotics Research, 2019

Skill Acquisition via Automated Multi-Coordinate Cost Balancing.

Harish Ravichandar, Seyed Reza Ahmadzadeh, Muhammad Asif Rana, Sonia Chernova

Proceedings of the International Conference on Robotics and Automation, 2019

Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations.

Muhammad Asif Rana, Anqi Li, Harish Ravichandar, Mustafa Mukadam, Sonia Chernova, Dieter Fox, Byron Boots, Nathan D. Ratliff

Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018

Learning Generalizable Robot Skills from Demonstrations in Cluttered Environments.

Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots

Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2018

2017

Generalized Cylinders for Learning, Reproduction, Generalization, and Refinement of Robot Skills.

Seyed Reza Ahmadzadeh, Muhammad Asif Rana, Sonia Chernova

Proceedings of the Robotics: Science and Systems XIII, 2017

Towards Robust Skill Generalization: Unifying Learning from Demonstration and Motion Planning.

Muhammad Asif Rana, Mustafa Mukadam, Seyed Reza Ahmadzadeh, Sonia Chernova, Byron Boots

Proceedings of the 1st Annual Conference on Robot Learning, CoRL 2017, Mountain View, 2017

2016

Modeling the effect of nanoparticles & the bistability of transmembrane potential in non-excitable cells.

Muhammad Asif Rana, Ningshi Yao, Shayok Mukhopadhyay, Fumin Zhang, Emilie Warren, Christine Payne

Proceedings of the 2016 American Control Conference, 2016