Gregory Kahn

Orcid: 0000-0003-1771-6147

According to our database1, Gregory Kahn authored at least 24 papers between 2014 and 2024.

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Bibliography

2024
Open X-Embodiment: Robotic Learning Datasets and RT-X Models : Open X-Embodiment Collaboration.
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Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Open X-Embodiment: Robotic Learning Datasets and RT-X Models.
CoRR, 2023

2021
LaND: Learning to Navigate From Disengagements.
IEEE Robotics Autom. Lett., 2021

BADGR: An Autonomous Self-Supervised Learning-Based Navigation System.
IEEE Robotics Autom. Lett., 2021

Model-Based Meta-Reinforcement Learning for Flight With Suspended Payloads.
IEEE Robotics Autom. Lett., 2021

Multi-Robot Deep Reinforcement Learning for Mobile Navigation.
CoRR, 2021

ViNG: Learning Open-World Navigation with Visual Goals.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

Hierarchically Integrated Models: Learning to Navigate from Heterogeneous Robots.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Mobile Robot Learning.
PhD thesis, 2020

2019
Robustness to Out-of-Distribution Inputs via Task-Aware Generative Uncertainty.
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.
Proceedings of the International Conference on Robotics and Automation, 2019

2018
Learning Image-Conditioned Dynamics Models for Control of Underactuated Legged Millirobots.
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.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Self-Supervised Deep Reinforcement Learning with Generalized Computation Graphs for Robot Navigation.
Proceedings of the 2018 IEEE International Conference on Robotics and Automation, 2018

Composable Action-Conditioned Predictors: Flexible Off-Policy Learning for Robot Navigation.
Proceedings of the 2nd Annual Conference on Robot Learning, 2018

2017
Neural Network Dynamics Models for Control of Under-actuated Legged Millirobots.
CoRR, 2017

Uncertainty-Aware Reinforcement Learning for Collision Avoidance.
CoRR, 2017

PLATO: Policy learning using adaptive trajectory optimization.
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Occlusion-aware multi-robot 3D tracking.
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.
Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015
Information-Theoretic Planning with Trajectory Optimization for Dense 3D Mapping.
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.
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.
Proceedings of the Algorithmic Foundations of Robotics XI, 2014

Autonomous multilateral debridement with the Raven surgical robot.
Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014


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