Eric Heiden

According to our database, Eric Heiden authored at least 30 papers between 2017 and 2024.

Collaborative distances:

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

2024

HandyPriors: Physically Consistent Perception of Hand-Object Interactions with Differentiable Priors.

Shutong Zhang, Yi-Ling Qiao, Guanglei Zhu, Eric Heiden, Dylan Turpin, Jingzhou Liu, Ming C. Lin, Miles Macklin, Animesh Garg

Proceedings of the IEEE International Conference on Robotics and Automation, 2024

Adaptive Horizon Actor-Critic for Policy Learning in Contact-Rich Differentiable Simulation.

Ignat Georgiev, Krishnan Srinivasan, Jie Xu, Eric Heiden, Animesh Garg

Proceedings of the Forty-first International Conference on Machine Learning, 2024

2023

DiSECt: a differentiable simulator for parameter inference and control in robotic cutting.

Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos

Auton. Robots, June, 2023

STAMP: Differentiable Task and Motion Planning via Stein Variational Gradient Descent.

Yewon Lee, Philip Huang, Krishna Murthy Jatavallabhula, Andrew Zou Li, Fabian Damken, Eric Heiden, Kevin Smith, Derek Nowrouzezahrai, Fabio Ramos, Florian Shkurti

CoRR, 2023

Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation.

Dylan Turpin, Tao Zhong, Shutong Zhang, Guanglei Zhu, Jingzhou Liu, Ritvik Singh, Eric Heiden, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg

CoRR, 2023

Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation.

Dylan Turpin, Tao Zhong, Shutong Zhang, Guanglei Zhu, Eric Heiden, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

NeBula: TEAM CoSTAR's Robotic Autonomy Solution that Won Phase II of DARPA Subterranean Challenge.

Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey A. Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael T. Wolf, Andrea Tagliabue, Tiago Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Thomas Lopez, Nobuhiro Funabiki, Gregory Miles, Thomas Touma, Alessandro Buscicchio, Jesus Tordesillas, Nikhilesh Alatur, Jeremy Nash, William Walsh, Sunggoo Jung, Hanseob Lee, Christoforos Kanellakis, John Mayo, Scott Harper, Marcel Kaufmann, Anushri Dixit, Gustavo Correa, Carlyn Lee, Jay Gao, Gene Merewether, Jairo Maldonado-Contreras, Gautam Salhotra, Maíra Saboia da Silva, Benjamin Ramtoula, Seyed Abolfazl Fakoorian, Alexander Hatteland, Taeyeon Kim, Tara Bartlett, Alex Stephens, Leon Kim, Chuck Bergh, Eric Heiden, Thomas Lew, Abhishek Cauligi, Tristan Heywood, Andrew Kramer, Henry A. Leopold, Hovhannes Melikyan, Hyungho Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick

Field Robotics, March, 2022

Inferring Articulated Rigid Body Dynamics from RGBD Video.

Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme

Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2022

Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation.

Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme

Proceedings of the 2022 International Conference on Robotics and Automation, 2022

Grasp'D: Differentiable Contact-Rich Grasp Synthesis for Multi-Fingered Hands.

Dylan Turpin, Liquan Wang, Eric Heiden, Yun-Chun Chen, Miles Macklin, Stavros Tsogkas, Sven J. Dickinson, Animesh Garg

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Bench-MR: A Motion Planning Benchmark for Wheeled Mobile Robots.

Eric Heiden, Luigi Palmieri, Leonard Bruns, Kai O. Arras, Gaurav S. Sukhatme, Sven Koenig

IEEE Robotics Autom. Lett., 2021

NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge.

Ali Agha, Kyohei Otsu, Benjamin Morrell, David D. Fan, Rohan Thakker, Angel Santamaria-Navarro, Sung-Kyun Kim, Amanda Bouman, Xianmei Lei, Jeffrey A. Edlund, Muhammad Fadhil Ginting, Kamak Ebadi, Matthew Anderson, Torkom Pailevanian, Edward Terry, Michael T. Wolf, Andrea Tagliabue, Tiago Stegun Vaquero, Matteo Palieri, Scott Tepsuporn, Yun Chang, Arash Kalantari, Fernando Chavez, Brett Thomas Lopez, Nobuhiro Funabiki, Gregory Miles, Thomas Touma, Alessandro Buscicchio, Jesus Tordesillas, Nikhilesh Alatur, Jeremy Nash, William Walsh, Sunggoo Jung, Hanseob Lee, Christoforos Kanellakis, John Mayo, Scott Harper, Marcel Kaufmann, Anushri Dixit, Gustavo Correa, Carlyn Lee, Jay Gao, Gene Merewether, Jairo Maldonado-Contreras, Gautam Salhotra, Maíra Saboia da Silva, Benjamin Ramtoula, Yuki Kubo, Seyed Abolfazl Fakoorian, Alexander Hatteland, Taeyeon Kim, Tara Bartlett, Alex Stephens, Leon Kim, Chuck Bergh, Eric Heiden, Thomas Lew, Abhishek Cauligi, Tristan Heywood, Andrew Kramer, Henry A. Leopold, Hyungho Chris Choi, Shreyansh Daftry, Olivier Toupet, Inhwan Wee, Abhishek Thakur, Micah Feras, Giovanni Beltrame, George Nikolakopoulos, David Hyunchul Shim, Luca Carlone, Joel Burdick

CoRR, 2021

DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting.

Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos

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

NeuralSim: Augmenting Differentiable Simulators with Neural Networks.

Eric Heiden, David Millard, Erwin Coumans, Yizhou Sheng, Gaurav S. Sukhatme

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

2020

Scaling simulation-to-real transfer by learning a latent space of robot skills.

Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman

Int. J. Robotics Res., 2020

Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap.

Eric Heiden, David Millard, Erwin Coumans, Gaurav S. Sukhatme

CoRR, 2020

Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots.

Eric Heiden, Luigi Palmieri, Kai Oliver Arras, Gaurav S. Sukhatme, Sven Koenig

CoRR, 2020

Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics.

David Millard, Eric Heiden, Shubham Agrawal, Gaurav S. Sukhatme

CoRR, 2020

Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking.

Eric Heiden, Ziang Liu, Ragesh K. Ramachandran, Gaurav S. Sukhatme

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

LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments.

Kamak Ebadi, Yun Chang, Matteo Palieri, Alex Stephens, Alex Hatteland, Eric Heiden, Abhishek Thakur, Nobuhiro Funabiki, Benjamin Morrell, Sally L. Wood, Luca Carlone, Ali-akbar Agha-mohammadi

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

2019

Confidence-rich grid mapping.

Ali-akbar Agha-mohammadi, Eric Heiden, Karol Hausman, Gaurav S. Sukhatme

Int. J. Robotics Res., 2019

Interactive Differentiable Simulation.

Eric Heiden, David Millard, Hejia Zhang, Gaurav S. Sukhatme

CoRR, 2019

2018

Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations.

Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman

CoRR, 2018

Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation.

Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme

CoRR, 2018

Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills.

Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Heterogeneous Sensor Fusion via Confidence-Rich 3D Grid Mapping: Application to Physical Robots.

Eric Heiden, Daniel Pastor, Pradyumna Vyshnav, Ali-Akbar Agha-Mohammadi

Proceedings of the 2018 International Symposium on Experimental Robotics, 2018

Gradient-Informed Path Smoothing for Wheeled Mobile Robots.

Eric Heiden, Luigi Palmieri, Sven Koenig, Kai Oliver Arras, Gaurav S. Sukhatme

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

2017

Web Text-based Network Industry Classifications: Preliminary Results.

Eric Heiden, Gerard Hoberg, Craig A. Knoblock, Palak Modi, Gordon Phillips, Gaurangi Raul, Pedro A. Szekely

Proceedings of the 3rd International Workshop on Data Science for Macro-Modeling with Financial and Economic Datasets, 2017

Planning high-speed safe trajectories in confidence-rich maps.

Eric Heiden, Karol Hausman, Gaurav S. Sukhatme, Ali-akbar Agha-mohammadi

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Concept and Realization of a Diagnostic System for Smart Environments.

Eric Heiden, Sebastian Bader, Thomas Kirste

Proceedings of the 9th International Conference on Agents and Artificial Intelligence, 2017