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Ajay Mandlekar
Ajay Mandlekar
Research Scientist, NVIDIA
Verified email at nvidia.com - Homepage
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Year
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
7002023
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
4252020
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
3872021
Open x-embodiment: Robotic learning datasets and rt-x models
A O'Neill, A Rehman, A Gupta, A Maddukuri, A Gupta, A Padalkar, A Lee, ...
arXiv preprint arXiv:2310.08864, 2023
349*2023
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
3292022
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
2792018
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
2042017
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
1352020
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
1262020
S4rl: Surprisingly simple self-supervision for offline reinforcement learning in robotics
S Sinha, A Mandlekar, A Garg
Conference on Robot Learning, 907-917, 2022
1232022
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
922019
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
872020
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
852021
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models.
A Majumdar, S Singh, A Mandlekar, M Pavone
Robotics: science and systems 16, 117, 2017
822017
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
742020
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 8 (6), 3740-3747, 2023
712023
Mimicgen: A data generation system for scalable robot learning using human demonstrations
A Mandlekar, S Nasiriany, B Wen, I Akinola, Y Narang, L Fan, Y Zhu, ...
arXiv preprint arXiv:2310.17596, 2023
612023
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
612019
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
582022
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
562022
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