Следене
Ajay Mandlekar
Ajay Mandlekar
Research Scientist, NVIDIA
Потвърден имейл адрес: nvidia.com - Начална страница
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Позовавания
Позовавания
Година
Voyager: An open-ended embodied agent with large language models
G Wang, Y Xie, Y Jiang, A Mandlekar, C Xiao, Y Zhu, L Fan, ...
arXiv preprint arXiv:2305.16291, 2023
4282023
robosuite: A modular simulation framework and benchmark for robot learning
Y Zhu, J Wong, A Mandlekar, R Martín-Martín, A Joshi, S Nasiriany, Y Zhu
arXiv preprint arXiv:2009.12293, 2020
3282020
What matters in learning from offline human demonstrations for robot manipulation
A Mandlekar, D Xu, J Wong, S Nasiriany, C Wang, R Kulkarni, L Fei-Fei, ...
arXiv preprint arXiv:2108.03298, 2021
2582021
Minedojo: Building open-ended embodied agents with internet-scale knowledge
L Fan, G Wang, Y Jiang, A Mandlekar, Y Yang, H Zhu, A Tang, DA Huang, ...
Advances in Neural Information Processing Systems 35, 18343-18362, 2022
2502022
Roboturk: A crowdsourcing platform for robotic skill learning through imitation
A Mandlekar, Y Zhu, A Garg, J Booher, M Spero, A Tung, J Gao, ...
Conference on Robot Learning, 879-893, 2018
2302018
Adversarially robust policy learning: Active construction of physically-plausible perturbations
A Mandlekar, Y Zhu, A Garg, L Fei-Fei, S Savarese
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
1932017
Iris: Implicit reinforcement without interaction at scale for learning control from offline robot manipulation data
A Mandlekar, F Ramos, B Boots, S Savarese, L Fei-Fei, A Garg, D Fox
2020 IEEE International Conference on Robotics and Automation (ICRA), 4414-4420, 2020
1142020
S4rl: Surprisingly simple self-supervision for offline reinforcement learning in robotics
S Sinha, A Mandlekar, A Garg
Conference on Robot Learning, 907-917, 2022
1032022
Learning to generalize across long-horizon tasks from human demonstrations
A Mandlekar, D Xu, R Martín-Martín, S Savarese, L Fei-Fei
arXiv preprint arXiv:2003.06085, 2020
1032020
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models.
A Majumdar, S Singh, A Mandlekar, M Pavone
Robotics: science and systems 16, 117, 2017
782017
Controlling assistive robots with learned latent actions
DP Losey, K Srinivasan, A Mandlekar, A Garg, D Sadigh
2020 IEEE International Conference on Robotics and Automation (ICRA), 378-384, 2020
762020
Deep affordance foresight: Planning through what can be done in the future
D Xu, A Mandlekar, R Martín-Martín, Y Zhu, S Savarese, L Fei-Fei
2021 IEEE international conference on robotics and automation (ICRA), 6206-6213, 2021
742021
Scaling robot supervision to hundreds of hours with roboturk: Robotic manipulation dataset through human reasoning and dexterity
A Mandlekar, J Booher, M Spero, A Tung, A Gupta, Y Zhu, A Garg, ...
2019 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2019
742019
Human-in-the-loop imitation learning using remote teleoperation
A Mandlekar, D Xu, R Martín-Martín, Y Zhu, L Fei-Fei, S Savarese
arXiv preprint arXiv:2012.06733, 2020
572020
Ac-teach: A bayesian actor-critic method for policy learning with an ensemble of suboptimal teachers
A Kurenkov, A Mandlekar, R Martin-Martin, S Savarese, A Garg
arXiv preprint arXiv:1909.04121, 2019
552019
Learning latent actions to control assistive robots
DP Losey, HJ Jeon, M Li, K Srinivasan, A Mandlekar, A Garg, J Bohg, ...
Autonomous robots 46 (1), 115-147, 2022
492022
Learning multi-arm manipulation through collaborative teleoperation
A Tung, J Wong, A Mandlekar, R Martín-Martín, Y Zhu, L Fei-Fei, ...
2021 IEEE International Conference on Robotics and Automation (ICRA), 9212-9219, 2021
392021
Error-aware imitation learning from teleoperation data for mobile manipulation
J Wong, A Tung, A Kurenkov, A Mandlekar, L Fei-Fei, S Savarese, ...
Conference on Robot Learning, 1367-1378, 2022
332022
Orbit: A Unified Simulation Framework for Interactive Robot Learning Environments
M Mittal, C Yu, Q Yu, J Liu, N Rudin, D Hoeller, JL Yuan, R Singh, Y Guo, ...
IEEE Robotics and Automation Letters, 2023
292023
Mocoda: Model-based counterfactual data augmentation
S Pitis, E Creager, A Mandlekar, A Garg
Advances in Neural Information Processing Systems 35, 18143-18156, 2022
232022
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