Gilwoo Lee
Cited by
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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
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
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
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
Bayesian policy optimization for model uncertainty
G Lee, B Hou, A Mandalika, J Lee, S Choudhury, SS Srinivasa
arXiv preprint arXiv:1810.01014, 2018
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
Gp-ilqg: Data-driven robust optimal control for uncertain nonlinear dynamical systems
G Lee, SS Srinivasa, MT Mason
arXiv preprint arXiv:1705.05344, 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
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
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
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
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
A dataset of food manipulation strategies
T Bhattacharjee, H Song, G Lee, SS Srinivasa
Harvard Dataverse, 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
Towards Effective Human-AI Teams: The Case of Collaborative Packing
G Lee, C Mavrogiannis, SS Srinivasa
arXiv preprint arXiv:1909.06527, 2019
Scalable Bayesian Reinforcement Learning
G Lee
University of Washington, 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
Publication Submission Form
FC Radiosity
Journal Article 31 (2), 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, ...
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