Gregory Kahn

According to our database, Gregory Kahn authored at least 23 papers between 2014 and 2023.

Collaborative distances:

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

2023

Open X-Embodiment: Robotic Learning Datasets and RT-X Models.

Open X.-Embodiment Collaboration, Abhishek Padalkar, Acorn Pooley, Ajinkya Jain, Alex Bewley, Alexander Herzog, Alex Irpan, Alexander Khazatsky, Anant Raj, Anikait Singh, Anthony Brohan, Antonin Raffin, Ayzaan Wahid, Ben Burgess-Limerick, Beomjoon Kim, Bernhard Schölkopf, Brian Ichter, Cewu Lu, Charles Xu, Chelsea Finn, Chenfeng Xu, Cheng Chi, Chenguang Huang, Christine Chan, Chuer Pan, Chuyuan Fu, Coline Devin, Danny Driess, Deepak Pathak, Dhruv Shah, Dieter Büchler, Dmitry Kalashnikov, Dorsa Sadigh, Edward Johns, Federico Ceola, Fei Xia, Freek Stulp, Gaoyue Zhou, Gaurav S. Sukhatme, Gautam Salhotra, Ge Yan, Giulio Schiavi, Gregory Kahn, Hao Su, Haoshu Fang, Haochen Shi, Heni Ben Amor, Henrik I. Christensen, Hiroki Furuta, Homer Walke, Hongjie Fang, Igor Mordatch, Ilija Radosavovic, et al.

CoRR, 2023

2021

LaND: Learning to Navigate From Disengagements.

Gregory Kahn, Pieter Abbeel, Sergey Levine

IEEE Robotics Autom. Lett., 2021

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System.

Gregory Kahn, Pieter Abbeel, Sergey Levine

IEEE Robotics Autom. Lett., 2021

Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads.

Suneel Belkhale, Rachel Li, Gregory Kahn, Rowan McAllister, Roberto Calandra, Sergey Levine

IEEE Robotics Autom. Lett., 2021

Multi-Robot Deep Reinforcement Learning for Mobile Navigation.

Katie Kang, Gregory Kahn, Sergey Levine

CoRR, 2021

ViNG: Learning Open-World Navigation with Visual Goals.

Dhruv Shah, Benjamin Eysenbach, Gregory Kahn, Nicholas Rhinehart, Sergey Levine

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

Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots.

Katie Kang, Gregory Kahn, Sergey Levine

Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020

Mobile Robot Learning.

Gregory Kahn

PhD thesis, 2020

2019

Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty.

Rowan McAllister, Gregory Kahn, Jeff Clune, Sergey Levine

Proceedings of the International Conference on Robotics and Automation, 2019

Generalization through Simulation: Integrating Simulated and Real Data into Deep Reinforcement Learning for Vision-Based Autonomous Flight.

Katie Kang, Suneel Belkhale, Gregory Kahn, Pieter Abbeel, Sergey Levine

Proceedings of the International Conference on Robotics and Automation, 2019

2018

Learning Image-Conditioned Dynamics Models for Control of Underactuated Legged Millirobots.

Anusha Nagabandi, Guangzhao Yang, Thomas Asmar, Ravi Pandya, Gregory Kahn, Sergey Levine, Ronald S. Fearing

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

Neural Network Dynamics for Model-Based Deep Reinforcement Learning with Model-Free Fine-Tuning.

Anusha Nagabandi, Gregory Kahn, Ronald S. Fearing, Sergey Levine

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation.

Gregory Kahn, Adam Villaflor, Bosen Ding, Pieter Abbeel, Sergey Levine

Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation.

Gregory Kahn, Adam Villaflor, Pieter Abbeel, Sergey Levine

Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017

Neural Network Dynamics Models for Control of Under-actuated Legged Millirobots.

Anusha Nagabandi, Guangzhao Yang, Thomas Asmar, Gregory Kahn, Sergey Levine, Ronald S. Fearing

CoRR, 2017

Uncertainty-Aware Reinforcement Learning for Collision Avoidance.

Gregory Kahn, Adam Villaflor, Vitchyr Pong, Pieter Abbeel, Sergey Levine

CoRR, 2017

PLATO: Policy learning using adaptive trajectory optimization.

Gregory Kahn, Tianhao Zhang, Sergey Levine, Pieter Abbeel

Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016

Occlusion-aware multi-robot 3D tracking.

Karol Hausman, Gregory Kahn, Sachin Patil, Jörg Müller, Ken Goldberg, Pieter Abbeel, Gaurav S. Sukhatme

Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Learning deep control policies for autonomous aerial vehicles with MPC-guided policy search.

Tianhao Zhang, Gregory Kahn, Sergey Levine, Pieter Abbeel

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping.

Benjamin Charrow, Gregory Kahn, Sachin Patil, Sikang Liu, Ken Goldberg, Pieter Abbeel, Nathan Michael, Vijay Kumar

Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Active exploration using trajectory optimization for robotic grasping in the presence of occlusions.

Gregory Kahn, Peter Sujan, Sachin Patil, Shaunak D. Bopardikar, Julian Ryde, Kenneth Y. Goldberg, Pieter Abbeel

Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014

Scaling up Gaussian Belief Space Planning Through Covariance-Free Trajectory Optimization and Automatic Differentiation.

Sachin Patil, Gregory Kahn, Michael Laskey, John Schulman, Ken Goldberg, Pieter Abbeel

Proceedings of the Algorithmic Foundations of Robotics XI, 2014

Autonomous multilateral debridement with the Raven surgical robot.

Ben Kehoe, Gregory Kahn, Jeffrey Mahler, Jonathan Kim, Alex X. Lee, Anna Lee, Keisuke Nakagawa, Sachin Patil, W. Douglas Boyd, Pieter Abbeel, Kenneth Y. Goldberg

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014