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ORCIDEric Heiden
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2020 – today
- 2022
[i16]Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos:
DiSECt: A Differentiable Simulator for Parameter Inference and Control in Robotic Cutting. CoRR abs/2203.10263 (2022)- [i15]Eric Heiden, Ziang Liu, Vibhav Vineet, Erwin Coumans, Gaurav S. Sukhatme:
Inferring Articulated Rigid Body Dynamics from RGBD Video. CoRR abs/2203.10488 (2022) - 2021
- [j3]Eric Heiden
, Luigi Palmieri, Leonard Bruns, Kai Oliver Arras, Gaurav S. Sukhatme, Sven Koenig:
Bench-MR: A Motion Planning Benchmark for Wheeled Mobile Robots. IEEE Robotics Autom. Lett. 6(3): 4536-4543 (2021) - [c11]Eric Heiden, David Millard, Erwin Coumans, Yizhou Sheng, Gaurav S. Sukhatme:
NeuralSim: Augmenting Differentiable Simulators with Neural Networks. ICRA 2021: 9474-9481 - [c10]Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos:
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting. Robotics: Science and Systems 2021 - [i14]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:
NeBula: Quest for Robotic Autonomy in Challenging Environments; TEAM CoSTAR at the DARPA Subterranean Challenge. CoRR abs/2103.11470 (2021) - [i13]Eric Heiden, Miles Macklin, Yashraj S. Narang, Dieter Fox, Animesh Garg, Fabio Ramos:
DiSECt: A Differentiable Simulation Engine for Autonomous Robotic Cutting. CoRR abs/2105.12244 (2021) - [i12]Eric Heiden, Christopher E. Denniston, David Millard, Fabio Ramos, Gaurav S. Sukhatme:
Probabilistic Inference of Simulation Parameters via Parallel Differentiable Simulation. CoRR abs/2109.08815 (2021) - 2020
- [j2]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning a latent space of robot skills. Int. J. Robotics Res. 39(10-11) (2020) - [c9]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:
LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments. ICRA 2020: 80-86 - [c8]Eric Heiden, Ziang Liu, Ragesh K. Ramachandran, Gaurav S. Sukhatme:
Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking. ICRA 2020: 2595-2601 - [i11]David Millard, Eric Heiden, Shubham Agrawal, Gaurav S. Sukhatme:
Automatic Differentiation and Continuous Sensitivity Analysis of Rigid Body Dynamics. CoRR abs/2001.08539 (2020) - [i10]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:
LAMP: Large-Scale Autonomous Mapping and Positioning for Exploration of Perceptually-Degraded Subterranean Environments. CoRR abs/2003.01744 (2020) - [i9]Eric Heiden, Luigi Palmieri, Kai Oliver Arras, Gaurav S. Sukhatme, Sven Koenig:
Experimental Comparison of Global Motion Planning Algorithms for Wheeled Mobile Robots. CoRR abs/2003.03543 (2020) - [i8]Ali-akbar Agha-mohammadi, Eric Heiden, Karol Hausman, Gaurav S. Sukhatme:
Confidence-rich grid mapping. CoRR abs/2006.15754 (2020) - [i7]Eric Heiden, David Millard, Erwin Coumans, Gaurav S. Sukhatme:
Augmenting Differentiable Simulators with Neural Networks to Close the Sim2Real Gap. CoRR abs/2007.06045 (2020) - [i6]Eric Heiden, David Millard, Erwin Coumans, Yizhou Sheng, Gaurav S. Sukhatme:
NeuralSim: Augmenting Differentiable Simulators with Neural Networks. CoRR abs/2011.04217 (2020)
2010 – 2019
- 2019
- [j1]Ali-akbar Agha-mohammadi, Eric Heiden, Karol Hausman, Gaurav S. Sukhatme:
Confidence-rich grid mapping. Int. J. Robotics Res. 38(12-13) (2019) - [i5]Eric Heiden, David Millard, Hejia Zhang, Gaurav S. Sukhatme:
Interactive Differentiable Simulation. CoRR abs/1905.10706 (2019) - [i4]Eric Heiden, Ziang Liu, Ragesh K. Ramachandran, Gaurav S. Sukhatme:
Physics-based Simulation of Continuous-Wave LIDAR for Localization, Calibration and Tracking. CoRR abs/1912.01652 (2019) - 2018
- [c7]Eric Heiden, Luigi Palmieri, Sven Koenig, Kai Oliver Arras, Gaurav S. Sukhatme:
Gradient-Informed Path Smoothing for Wheeled Mobile Robots. ICRA 2018: 1710-1717 - [c6]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling Simulation-to-Real Transfer by Learning Composable Robot Skills. ISER 2018: 267-279 - [c5]Eric Heiden, Daniel Pastor, Pradyumna Vyshnav, Ali-Akbar Agha-Mohammadi:
Heterogeneous Sensor Fusion via Confidence-Rich 3D Grid Mapping: Application to Physical Robots. ISER 2018: 725-736 - [i3]Ryan Julian, Eric Heiden, Zhanpeng He, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Scaling simulation-to-real transfer by learning composable robot skills. CoRR abs/1809.10253 (2018) - [i2]Hejia Zhang, Eric Heiden, Ryan Julian, Zhangpeng He, Joseph J. Lim, Gaurav S. Sukhatme:
Auto-conditioned Recurrent Mixture Density Networks for Complex Trajectory Generation. CoRR abs/1810.00146 (2018) - [i1]Zhanpeng He, Ryan Julian, Eric Heiden, Hejia Zhang, Stefan Schaal, Joseph J. Lim, Gaurav S. Sukhatme, Karol Hausman:
Zero-Shot Skill Composition and Simulation-to-Real Transfer by Learning Task Representations. CoRR abs/1810.02422 (2018) - 2017
- [c4]Eric Heiden, Sebastian Bader, Thomas Kirste:
Concept and Realization of a Diagnostic System for Smart Environments. ICAART (2) 2017: 318-329 - [c3]Eric Heiden, Karol Hausman, Gaurav S. Sukhatme, Ali-akbar Agha-mohammadi:
Planning high-speed safe trajectories in confidence-rich maps. IROS 2017: 2880-2886 - [c2]Ali-akbar Agha-mohammadi, Eric Heiden, Karol Hausman, Gaurav S. Sukhatme:
Confidence-Rich Grid Mapping. ISRR 2017: 623-641 - [c1]Eric Heiden, Gerard Hoberg, Craig A. Knoblock, Palak Modi, Gordon Phillips, Gaurangi Raul, Pedro A. Szekely:
Web Text-based Network Industry Classifications: Preliminary Results. DSMM@SIGMOD 2017: 4:1-4:3
Coauthor Index
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