| Asking for help using inverse semantics S Tellex, R Knepper, A Li, D Rus, N Roy Robotics: Science and Systems Foundation, 2014 | 213 | 2014 |
| Path integral guided policy search Y Chebotar, M Kalakrishnan, A Yahya, A Li, S Schaal, S Levine 2017 IEEE International Conference on Robotics and Automation (ICRA), 3381-3388, 2017 | 193 | 2017 |
| Collective robot reinforcement learning with distributed asynchronous guided policy search A Yahya, A Li, M Kalakrishnan, Y Chebotar, S Levine 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017 | 185 | 2017 |
| Recovering from failure by asking for help RA Knepper, S Tellex, A Li, N Roy, D Rus Autonomous Robots 39, 347-362, 2015 | 94 | 2015 |
| Quantile qt-opt for risk-aware vision-based robotic grasping C Bodnar, A Li, K Hausman, P Pastor, M Kalakrishnan arXiv preprint arXiv:1910.02787, 2019 | 59 | 2019 |
| Control policies for collective robot learning M Kalakrishnan, AHY Valdovinos, ALH Li, Y Chebotar, SV Levine US Patent 11,188,821, 2021 | 22 | 2021 |
| Deep RL at Scale: Sorting Waste in Office Buildings with a Fleet of Mobile Manipulators A Herzog, K Rao, K Hausman, Y Lu, P Wohlhart, M Yan, J Lin, MG Arenas, ... arXiv preprint arXiv:2305.03270, 2023 | 20 | 2023 |
| Operating multiple testing robots based on robot instructions and/or environmental parameters received in a request PP Sampedro, M Kalakrishnan, AY Valdovinos, A Li, K Konolige, ... US Patent 10,058,995, 2018 | 20 | 2018 |
| Learning probabilistic multi-modal actor models for vision-based robotic grasping M Yan, A Li, M Kalakrishnan, P Pastor 2019 International Conference on Robotics and Automation (ICRA), 4804-4810, 2019 | 19 | 2019 |
| Single assembly robot in search of human partner: Versatile grounded language generation RA Knepper, S Tellex, A Li, N Roy, D Rus 2013 8th ACM/IEEE International Conference on Human-Robot Interaction (HRI …, 2013 | 13 | 2013 |
| Generating and utilizing spatial affordances for an object in robotics applications A Li, N Hudson, A Edsinger US Patent 10,354,139, 2019 | 7 | 2019 |
| Control policies for robotic agents M Kalakrishnan, AHY Valdovinos, ALH Li, Y Chebotar, SV Levine US Patent 10,960,539, 2021 | 6 | 2021 |
| Object pose neural network system M Kalakrishnan, ALH Li, N Hudson US Patent 10,861,184, 2020 | 6 | 2020 |
| PI-QT-Opt: Predictive Information Improves Multi-Task Robotic Reinforcement Learning at Scale KH Lee, T Xiao, A Li, P Wohlhart, I Fischer, Y Lu Conference on Robot Learning, 1696-1707, 2023 | 5 | 2023 |
| Neural network modules A Li, M Kalakrishnan US Patent 10,748,057, 2020 | 5 | 2020 |
| Assembling furniture by asking for help from a human partner S Tellex, RA Knepper, A Li, TM Howard, D Rus, N Roy Collaborative manipulation workshop at human–Robot interaction, 2013 | 4 | 2013 |
| Interactive Multi-Robot Flocking with Gesture Responsiveness and Musical Accompaniment C Cuan, K Jeffrey, K Kleiven, A Li, E Fisher, M Harrison, B Holson, ... arXiv preprint arXiv:2404.00442, 2024 | | 2024 |
| Generating reinforcement learning data that is compatible with reinforcement learning for a robotic task A Herzog, A Li, M Kalakrishnan, B Holson US Patent 11,610,153, 2023 | | 2023 |
| Robotic control using value distributions C Bodnar, A Li, K Hausman, PP Sampedro, M Kalakrishnan US Patent 11,571,809, 2023 | | 2023 |
| Operating multiple testing robots based on robot instructions and/or environmental parameters received in a request PP Sampedro, M Kalakrishnan, AY Valdovinos, A Li, K Konolige, ... US Patent 11,565,401, 2023 | | 2023 |
Mrinal KalakrishnanAI Research Scientist, Meta FAIR在 meta.com 的电子邮件经过验证
