| 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 | 164 | 2020 |
| 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 | 158 | 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 | 126 | 2017 |
| 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 | 105 | 2021 |
| 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 | 75 | 2020 |
| Risk-sensitive Inverse Reinforcement Learning via Coherent Risk Models. A Majumdar, S Singh, A Mandlekar, M Pavone Robotics: science and systems 16, 117, 2017 | 62 | 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 | 59 | 2020 |
| 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 | 55 | 2020 |
| 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, ... arXiv preprint arXiv:2206.08853, 2022 | 54 | 2022 |
| S4RL: Surprisingly simple self-supervision for offline reinforcement learning in robotics S Sinha, A Mandlekar, A Garg Conference on Robot Learning, 907-917, 2022 | 53 | 2022 |
| Adversarially robust policy learning: Active construction of physically-plausible perturbations. In 2017 IEEE A Mandlekar, Y Zhu, A Garg, L Fei-Fei, S Savarese RSJ International Conference on Intelligent Robots and Systems (IROS), 3932-3939, 0 | 43 | |
| 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 | 40 | 2019 |
| 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 | 39 | 2019 |
| 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 | 38 | 2021 |
| 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 | 38 | 2020 |
| 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 | 19 | 2022 |
| Multi-dimensional optimization of a terawatt seeded tapered free electron laser with a multi-objective genetic algorithm J Wu, N Hu, H Setiawan, X Huang, TO Raubenheimer, Y Jiao, G Yu, ... Nuclear Instruments and Methods in Physics Research Section A: Accelerators …, 2017 | 18 | 2017 |
| 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 | 17 | 2021 |
| Generalization through hand-eye coordination: An action space for learning spatially-invariant visuomotor control C Wang, R Wang, A Mandlekar, L Fei-Fei, S Savarese, D Xu 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 10 | 2021 |
| 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 | 8 | 2022 |
