| Imitation learning as f-divergence minimization L Ke, S Choudhury, M Barnes, W Sun, G Lee, S Srinivasa Algorithmic Foundations of Robotics XIV: Proceedings of the Fourteenth …, 2021 | 172 | 2021 |
| Talking with hands 16.2 m: A large-scale dataset of synchronized body-finger motion and audio for conversational motion analysis and synthesis G Lee, Z Deng, S Ma, T Shiratori, SS Srinivasa, Y Sheikh Proceedings of the IEEE/CVF International Conference on Computer Vision, 763-772, 2019 | 109 | 2019 |
| Towards robotic feeding: Role of haptics in fork-based food manipulation T Bhattacharjee, G Lee, H Song, SS Srinivasa IEEE Robotics and Automation Letters 4 (2), 1485-1492, 2019 | 98 | 2019 |
| Hierarchical planning for multi-contact non-prehensile manipulation G Lee, T Lozano-Pérez, LP Kaelbling 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2015 | 61 | 2015 |
| Robot-assisted feeding: Generalizing skewering strategies across food items on a plate R Feng, Y Kim, G Lee, EK Gordon, M Schmittle, S Kumar, T Bhattacharjee, ... The International Symposium of Robotics Research, 427-442, 2019 | 52 | 2019 |
| Bayesian policy optimization for model uncertainty G Lee, B Hou, A Mandalika, J Lee, S Choudhury, SS Srinivasa arXiv preprint arXiv:1810.01014, 2018 | 51 | 2018 |
| Gp-ilqg: Data-driven robust optimal control for uncertain nonlinear dynamical systems G Lee, SS Srinivasa, MT Mason arXiv preprint arXiv:1705.05344, 2017 | 30 | 2017 |
| Posterior sampling for anytime motion planning on graphs with expensive-to-evaluate edges B Hou, S Choudhury, G Lee, A Mandalika, SS Srinivasa 2020 IEEE International Conference on Robotics and Automation (ICRA), 4266-4272, 2020 | 13 | 2020 |
| Unsupervised learning for nonlinear piecewise smooth hybrid systems G Lee, Z Marinho, AM Johnson, GJ Gordon, SS Srinivasa, MT Mason arXiv preprint arXiv:1710.00440, 2017 | 12 | 2017 |
| A system for multi-step mobile manipulation: Architecture, algorithms, and experiments SS Srinivasa, AM Johnson, G Lee, MC Koval, S Choudhury, JE King, ... 2016 International Symposium on Experimental Robotics, 254-265, 2017 | 11 | 2017 |
| Bayesian residual policy optimization:: Scalable bayesian reinforcement learning with clairvoyant experts G Lee, B Hou, S Choudhury, SS Srinivasa 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2021 | 9 | 2021 |
| A study of reaching motions for collaborative human-robot interaction S Sheikholeslami, G Lee, JW Hart, S Srinivasa, EA Croft Proceedings of the 2018 International Symposium on Experimental Robotics …, 2020 | 7 | 2020 |
| A dataset of food manipulation strategies T Bhattacharjee, H Song, G Lee, SS Srinivasa Harvard Dataverse, 2018 | 6 | 2018 |
| Hybrid DDP in clutter (CHDDP): trajectory optimization for hybrid dynamical system in cluttered environments S Choudhury, Y Hou, G Lee, SS Srinivasa arXiv preprint arXiv:1710.05231, 2017 | 3 | 2017 |
| Towards Effective Human-AI Teams: The Case of Collaborative Packing G Lee, C Mavrogiannis, SS Srinivasa arXiv preprint arXiv:1909.06527, 2019 | 2 | 2019 |
| Scalable Bayesian Reinforcement Learning G Lee University of Washington, 2020 | | 2020 |
| Bayes-CPACE: PAC Optimal Exploration in Continuous Space Bayes-Adaptive Markov Decision Processes G Lee, S Choudhury, B Hou, SS Srinivasa arXiv preprint arXiv:1810.03048, 2018 | | 2018 |
| Publication Submission Form FC Radiosity Journal Article 31 (2), 1999 | | 1999 |
| Bayesian Residual Policy Optimization G Lee, B Hou, S Choudhury, SS Srinivasa | | |
| Publication Submission Form S Srinivasa, D Ferguson, C Helfrich, D Berenson, AC Romea, R Diankov, ... | | |
Tomas Lozano-PerezProfessor of Computer Science, MITVerified email at mit.edu
