Nathan D. Ratliff
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
36
Venues
8
Active years
2006–2025
Best venue rank
A*
Where they publish
Papers
36 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | IROS | Synthetica: Large Scale Synthetic Data Generation for Robot Perception. | Ritvik Singh, Jason Jingzhou Liu, Karl Van Wyk, Yu-Wei Chao, Jean-Francois Lafleche, Florian Shkurti, Nathan D. Ratliff, Ankur Handa |
| 2024 | CoRL | DextrAH-G: Pixels-to-Action Dexterous Arm-Hand Grasping with Geometric Fabrics. | Tyler Ga Wei Lum, Martin Matak, Viktor Makoviychuk, Ankur Handa, Arthur Allshire, Tucker Hermans, Nathan D. Ratliff, Karl Van Wyk |
| 2024 | ICRA | Geometric Fabrics: a Safe Guiding Medium for Policy Learning. | Karl Van Wyk, Ankur Handa, Viktor Makoviychuk, Yijie Guo, Arthur Allshire, Nathan D. Ratliff |
| 2023 | ICRA | CuRobo: Parallelized Collision-Free Robot Motion Generation. | Balakumar Sundaralingam, Siva Kumar Sastry Hari, Adam Fishman, Caelan Reed Garrett, Karl Van Wyk, Valts Blukis, Alexander Millane, Helen Oleynikova, Ankur Handa, Fabio Ramos, Nathan D. Ratliff, Dieter Fox |
| 2023 | ICRA | Global and Reactive Motion Generation with Geometric Fabric Command Sequences. | Weiming Zhi, Iretiayo Akinola, Karl Van Wyk, Nathan D. Ratliff, Fabio Ramos |
| 2022 | CoRL | Neural Geometric Fabrics: Efficiently Learning High-Dimensional Policies from Demonstration. | Mandy Xie, Ankur Handa, Stephen Tyree, Dieter Fox, Harish Ravichandar, Nathan D. Ratliff, Karl Van Wyk |
| 2021 | CoRL | STORM: An Integrated Framework for Fast Joint-Space Model-Predictive Control for Reactive Manipulation. | Mohak Bhardwaj, Balakumar Sundaralingam, Arsalan Mousavian, Nathan D. Ratliff, Dieter Fox, Fabio Ramos, Byron Boots |
| 2021 | ICRA | Generalized Nonlinear and Finsler Geometry for Robotics. | Nathan D. Ratliff, Karl Van Wyk, Mandy Xie, Anqi Li, Muhammad Asif Rana |
| 2021 | IROS | 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 |
| 2020 | ICRA | DexPilot: Vision-Based Teleoperation of Dexterous Robotic Hand-Arm System. | Ankur Handa, Karl Van Wyk, Wei Yang, Jacky Liang, Yu-Wei Chao, Qian Wan, Stan Birchfield, Nathan D. Ratliff, Dieter Fox |
| 2020 | ICRA | Guided Uncertainty-Aware Policy Optimization: Combining Learning and Model-Based Strategies for Sample-Efficient Policy Learning. | Michelle A. Lee, Carlos Florensa, Jonathan Tremblay, Nathan D. Ratliff, Animesh Garg, Fabio Ramos, Dieter Fox |
| 2020 | ICRA | Scaling Local Control to Large-Scale Topological Navigation. | Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox |
| 2020 | IROS | Collaborative Interaction Models for Optimized Human-Robot Teamwork. | Adam Fishman, Chris Paxton, Wei Yang, Dieter Fox, Byron Boots, Nathan D. Ratliff |
| 2020 | RO-MAN | An Interior Point Method Solving Motion Planning Problems with Narrow Passages. | Jim Mainprice, Nathan D. Ratliff, Marc Toussaint, Stefan Schaal |
| 2019 | CoRL | Riemannian Motion Policy Fusion through Learnable Lyapunov Function Reshaping. | Mustafa Mukadam, Ching-An Cheng, Dieter Fox, Byron Boots, Nathan D. Ratliff |
| 2019 | CoRL | 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 |
| 2019 | ICML | Predictor-Corrector Policy Optimization. | Ching-An Cheng, Xinyan Yan, Nathan D. Ratliff, Byron Boots |
| 2019 | ICRA | Closing the Sim-to-Real Loop: Adapting Simulation Randomization with Real World Experience. | Yevgen Chebotar, Ankur Handa, Viktor Makoviychuk, Miles Macklin, Jan Issac, Nathan D. Ratliff, Dieter Fox |
| 2019 | ICRA | Joint Inference of Kinematic and Force Trajectories with Visuo-Tactile Sensing. | Alexander Sasha Lambert, Mustafa Mukadam, Balakumar Sundaralingam, Nathan D. Ratliff, Byron Boots, Dieter Fox |
| 2019 | ICRA | Neural Autonomous Navigation with Riemannian Motion Policy. | Xiangyun Meng, Nathan D. Ratliff, Yu Xiang, Dieter Fox |
| 2019 | IROS | Representing Robot Task Plans as Robust Logical-Dynamical Systems. | Chris Paxton, Nathan D. Ratliff, Clemens Eppner, Dieter Fox |
| 2019 | ICRA | Robust Learning of Tactile Force Estimation through Robot Interaction. | Balakumar Sundaralingam, Alexander Sasha Lambert, Ankur Handa, Byron Boots, Tucker Hermans, Stan Birchfield, Nathan D. Ratliff, Dieter Fox |
| 2019 | ICRA | Learning Latent Space Dynamics for Tactile Servoing. | Giovanni Sutanto, Nathan D. Ratliff, Balakumar Sundaralingam, Yevgen Chebotar, Zhe Su, Ankur Handa, Dieter Fox |
| 2018 | WAFR | RMP | Ching-An Cheng, Mustafa Mukadam, Jan Issac, Stan Birchfield, Dieter Fox, Byron Boots, Nathan D. Ratliff |
| 2017 | IROS | A new data source for inverse dynamics learning. | Daniel Kappler, Franziska Meier, Nathan D. Ratliff, Stefan Schaal |
| 2016 | IROS | Warping the workspace geometry with electric potentials for motion optimization of manipulation tasks. | Jim Mainprice, Nathan D. Ratliff, Stefan Schaal |
| 2016 | IROS | Towards robust online inverse dynamics learning. | Franziska Meier, Daniel Kappler, Nathan D. Ratliff, Stefan Schaal |
| 2015 | ICRA | Understanding the geometry of workspace obstacles in Motion Optimization. | Nathan D. Ratliff, Marc Toussaint, Stefan Schaal |
| 2014 | IROS | Dual execution of optimized contact interaction trajectories. | Marc Toussaint, Nathan D. Ratliff, Jeannette Bohg, Ludovic Righetti, Peter Englert, Stefan Schaal |
| 2011 | ICRA | Manipulation planning with goal sets using constrained trajectory optimization. | Anca D. Dragan, Nathan D. Ratliff, Siddhartha S. Srinivasa |
| 2011 | UAI | Semi-supervised Learning with Density Based Distances. | Avleen Singh Bijral, Nathan D. Ratliff, Nathan Srebro |
| 2009 | IJCAI | Self-Supervised Aerial Image Analysis for Extracting Parking Lot Structure. | Young-Woo Seo, Nathan D. Ratliff, Chris Urmson |
| 2009 | ICRA | CHOMP: Gradient optimization techniques for efficient motion planning. | Nathan D. Ratliff, Matthew Zucker, J. Andrew Bagnell, Siddhartha S. Srinivasa |
| 2009 | IROS | Planning-based prediction for pedestrians. | Brian D. Ziebart, Nathan D. Ratliff, Garratt Gallagher, Christoph Mertz, Kevin M. Peterson, James A. Bagnell, Martial Hebert, Anind K. Dey, Siddhartha S. Srinivasa |
| 2007 | IJCAI | Kernel Conjugate Gradient for Fast Kernel Machines. | Nathan D. Ratliff, J. Andrew Bagnell |
| 2006 | ICML | Maximum margin planning. | Nathan D. Ratliff, J. Andrew Bagnell, Martin Zinkevich |