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 | 700 | 2023 |
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 | 425 | 2020 |
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 | 387 | 2021 |
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 | 329 | 2022 |
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 | 279 | 2018 |
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 | 204 | 2017 |
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 | 135 | 2020 |
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 | 126 | 2020 |
S4rl: Surprisingly simple self-supervision for offline reinforcement learning in robotics S Sinha, A Mandlekar, A Garg Conference on Robot Learning, 907-917, 2022 | 123 | 2022 |
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 | 92 | 2019 |
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 | 87 | 2020 |
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 | 85 | 2021 |
Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models. A Majumdar, S Singh, A Mandlekar, M Pavone Robotics: science and systems 16, 117, 2017 | 82 | 2017 |
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 | 74 | 2020 |
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 | 71 | 2023 |
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 | 61 | 2023 |
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 | 61 | 2019 |
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 | 58 | 2022 |
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 | 56 | 2022 |