Nathan D. Ratliff

According to our database1, Nathan D. Ratliff authored at least 66 papers between 2006 and 2024.

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Bibliography

2024
Synthetica: Large Scale Synthetic Data for Robot Perception.
CoRR, 2024

DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics.
CoRR, 2024

Geometric Fabrics: a Safe Guiding Medium for Policy Learning.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
CuRobo: Parallelized Collision-Free Minimum-Jerk Robot Motion Generation.
CoRR, 2023

Fabrics: A Foundationally Stable Medium for Encoding Prior Experience.
CoRR, 2023

Global and Reactive Motion Generation with Geometric Fabric Command Sequences.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

CuRobo: Parallelized Collision-Free Robot Motion Generation.
Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022
Geometric Fabrics: Generalizing Classical Mechanics to Capture the Physics of Behavior.
IEEE Robotics Autom. Lett., 2022

Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration.
Proceedings of the Conference on Robot Learning, 2022

2021
RMPflow: A Geometric Framework for Generation of Multitask Motion Policies.
IEEE Trans Autom. Sci. Eng., 2021

CoDE: Collocation for Demonstration Encoding.
CoRR, 2021

Fast Joint Space Model-Predictive Control for Reactive Manipulation.
CoRR, 2021

RMP2: A Structured Composable Policy Class for Robot Learning.
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.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

Generalized Nonlinear and Finsler Geometry for Robotics.
Proceedings of the IEEE International Conference on Robotics and Automation, 2021

STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation.
Proceedings of the Conference on Robot Learning, 8-11 November 2021, London, UK., 2021

2020
Model-Based Generalization Under Parameter Uncertainty Using Path Integral Control.
IEEE Robotics Autom. Lett., 2020

Optimization Fabrics for Behavioral Design.
CoRR, 2020

Geometric Fabrics for the Acceleration-based Design of Robotic Motion.
CoRR, 2020

Optimization Fabrics.
CoRR, 2020

RMPflow: A Geometric Framework for Generation of Multi-Task Motion Policies.
CoRR, 2020

An Interior Point Method Solving Motion Planning Problems with Narrow Passages.
Proceedings of the 29th IEEE International Conference on Robot and Human Interactive Communication, 2020

Euclideanizing Flows: Diffeomorphic Reduction for Learning Stable Dynamical Systems.
Proceedings of the 2nd Annual Conference on Learning for Dynamics and Control, 2020

Collaborative Interaction Models for Optimized Human-Robot Teamwork.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2020

Scaling Local Control to Large-Scale Topological Navigation.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System.
Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019
Trajectory Optimization for Coordinated Human-Robot Collaboration.
CoRR, 2019

Representing Robot Task Plans as Robust Logical-Dynamical Systems.
Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2019

Learning Latent Space Dynamics for Tactile Servoing.
Proceedings of the International Conference on Robotics and Automation, 2019

Robust Learning of Tactile Force Estimation through Robot Interaction.
Proceedings of the International Conference on Robotics and Automation, 2019

Neural Autonomous Navigation with Riemannian Motion Policy.
Proceedings of the International Conference on Robotics and Automation, 2019

Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing.
Proceedings of the International Conference on Robotics and Automation, 2019

Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience.
Proceedings of the International Conference on Robotics and Automation, 2019

Predictor-Corrector Policy Optimization.
Proceedings of the 36th International Conference on Machine Learning, 2019

Learning Reactive Motion Policies in Multiple Task Spaces from Human Demonstrations.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping.
Proceedings of the 3rd Annual Conference on Robot Learning, 2019

2018
Real-Time Perception Meets Reactive Motion Generation.
IEEE Robotics Autom. Lett., 2018

RMPflow: A Computational Graph for Automatic Motion Policy Generation.
CoRR, 2018

Riemannian Motion Policies.
CoRR, 2018

RMP<i>flow</i>: A Computational Graph for Automatic Motion Policy Generation.
Proceedings of the Algorithmic Foundations of Robotics XIII, 2018

2017
Real-time natural language corrections for assistive robotic manipulators.
Int. J. Robotics Res., 2017

A new data source for inverse dynamics learning.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016
On the Fundamental Importance of Gauss-Newton in Motion Optimization.
CoRR, 2016

DOOMED: Direct Online Optimization of Modeling Errors in Dynamics.
Big Data, 2016

Towards robust online inverse dynamics learning.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

Warping the workspace geometry with electric potentials for motion optimization of manipulation tasks.
Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2016

2015
Policy Learning with Hypothesis based Local Action Selection.
CoRR, 2015

Direct Loss Minimization Inverse Optimal Control.
Proceedings of the Robotics: Science and Systems XI, Sapienza University of Rome, 2015

Understanding the geometry of workspace obstacles in Motion Optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2015

2014
Dual execution of optimized contact interaction trajectories.
Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2014

2013
CHOMP: Covariant Hamiltonian optimization for motion planning.
Int. J. Robotics Res., 2013

2011
Optimization and learning for rough terrain legged locomotion.
Int. J. Robotics Res., 2011

Semi-supervised Learning with Density Based Distances.
Proceedings of the UAI 2011, 2011

Manipulation planning with goal sets using constrained trajectory optimization.
Proceedings of the IEEE International Conference on Robotics and Automation, 2011

2009
Inverse Optimal Heuristic Control for Imitation Learning.
Proceedings of the Twelfth International Conference on Artificial Intelligence and Statistics, 2009

Learning to search: Functional gradient techniques for imitation learning.
Auton. Robots, 2009

Planning-based prediction for pedestrians.
Proceedings of the 2009 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2009

Self-Supervised Aerial Image Analysis for Extracting Parking Lot Structure.
Proceedings of the IJCAI 2009, 2009

CHOMP: Gradient optimization techniques for efficient motion planning.
Proceedings of the 2009 IEEE International Conference on Robotics and Automation, 2009

2008
BiSpace Planning: Concurrent Multi-Space Exploration.
Proceedings of the Robotics: Science and Systems IV, 2008

2007
(Approximate) Subgradient Methods for Structured Prediction.
Proceedings of the Eleventh International Conference on Artificial Intelligence and Statistics, 2007

Kernel Conjugate Gradient for Fast Kernel Machines.
Proceedings of the IJCAI 2007, 2007

Imitation learning for locomotion and manipulation.
Proceedings of the 2007 7th IEEE-RAS International Conference on Humanoid Robots, November 29th, 2007

2006
Boosting Structured Prediction for Imitation Learning.
Proceedings of the Advances in Neural Information Processing Systems 19, 2006

Maximum margin planning.
Proceedings of the Machine Learning, 2006


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