Takip et
Eric Heiden
Eric Heiden
NVIDIA
usc.edu üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
LAMP: Large-scale autonomous mapping and positioning for exploration of perceptually-degraded subterranean environments
K Ebadi, Y Chang, M Palieri, A Stephens, A Hatteland, E Heiden, ...
2020 IEEE International Conference on Robotics and Automation (ICRA), 80-86, 2020
1842020
Nebula: Quest for robotic autonomy in challenging environments; team costar at the darpa subterranean challenge
A Agha, K Otsu, B Morrell, DD Fan, R Thakker, A Santamaria-Navarro, ...
arXiv preprint arXiv:2103.11470, 2021
1742021
NeuralSim: Augmenting differentiable simulators with neural networks
E Heiden, D Millard, E Coumans, Y Sheng, GS Sukhatme
2021 IEEE International Conference on Robotics and Automation (ICRA), 9474-9481, 2021
1592021
Disect: A differentiable simulation engine for autonomous robotic cutting
E Heiden, M Macklin, Y Narang, D Fox, A Garg, F Ramos
arXiv preprint arXiv:2105.12244, 2021
912021
Bench-mr: A motion planning benchmark for wheeled mobile robots
E Heiden, L Palmieri, L Bruns, KO Arras, GS Sukhatme, S Koenig
IEEE Robotics and Automation Letters 6 (3), 4536-4543, 2021
572021
Interactive differentiable simulation
E Heiden, D Millard, H Zhang, GS Sukhatme
arXiv preprint arXiv:1905.10706, 2019
532019
Grasp’d: Differentiable contact-rich grasp synthesis for multi-fingered hands
D Turpin, L Wang, E Heiden, YC Chen, M Macklin, S Tsogkas, ...
European Conference on Computer Vision, 201-221, 2022
492022
Confidence-rich grid mapping
AA Agha-Mohammadi, E Heiden, K Hausman, G Sukhatme
The International Journal of Robotics Research 38 (12-13), 1352-1374, 2019
412019
Gradient-informed path smoothing for wheeled mobile robots
E Heiden, L Palmieri, S Koenig, KO Arras, GS Sukhatme
2018 IEEE international conference on robotics and automation (ICRA), 1710-1717, 2018
402018
Planning high-speed safe trajectories in confidence-rich maps
E Heiden, K Hausman, GS Sukhatme, A Agha-mohammadi
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
242017
Probabilistic inference of simulation parameters via parallel differentiable simulation
E Heiden, CE Denniston, D Millard, F Ramos, GS Sukhatme
2022 International Conference on Robotics and Automation (ICRA), 3638-3645, 2022
212022
Zero-shot skill composition and simulation-to-real transfer by learning task representations
Z He, R Julian, E Heiden, H Zhang, S Schaal, JJ Lim, G Sukhatme, ...
arXiv preprint arXiv:1810.02422, 2018
212018
Physics-based simulation of continuous-wave lidar for localization, calibration and tracking
E Heiden, Z Liu, RK Ramachandran, GS Sukhatme
2020 IEEE International Conference on Robotics and Automation (ICRA), 2595-2601, 2020
192020
Fast-Grasp'D: Dexterous Multi-finger Grasp Generation Through Differentiable Simulation
D Turpin, T Zhong, S Zhang, G Zhu, E Heiden, M Macklin, S Tsogkas, ...
2023 IEEE International Conference on Robotics and Automation (ICRA), 8082-8089, 2023
182023
Augmenting differentiable simulators with neural networks to close the sim2real gap
E Heiden, D Millard, E Coumans, GS Sukhatme
arXiv preprint arXiv:2007.06045, 2020
172020
Scaling simulation-to-real transfer by learning composable robot skills
R Julian, E Heiden, Z He, H Zhang, S Schaal, J Lim, G Sukhatme, ...
Proceedings of the 2018 International Symposium on Experimental Robotics …, 2020
152020
Real2sim transfer using differentiable physics
E Heiden, D Millard, G Sukhatme
Workshop on Closing the Reality Gap in Sim2real Transfer for Robotic …, 2019
112019
Inferring articulated rigid body dynamics from rgbd video
E Heiden, Z Liu, V Vineet, E Coumans, GS Sukhatme
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022
92022
Automatic differentiation and continuous sensitivity analysis of rigid body dynamics
D Millard, E Heiden, S Agrawal, GS Sukhatme
arXiv preprint arXiv:2001.08539, 2020
92020
Auto-conditioned recurrent mixture density networks for learning generalizable robot skills
H Zhang, E Heiden, S Nikolaidis, JJ Lim, GS Sukhatme
arXiv preprint arXiv:1810.00146, 2018
92018
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