I am a PhD student in Paul G. Allen School of Computer Science & Engineering at the University of Washington, recently moved from Robotics Institute at Carnegie Mellon University, as my advisor Siddhartha S. Srinivasa has moved. I have received B.S. and M.Eng at MIT, where I was co-advised by Leslie Pack Kaelbling and Tomas Lozano-Perez. I am a recipient of Kwanjeong Educational Foundation Fellowship and have previously received CMU School of Computer Science Presidential Fellowship and Samsung Scholarship.
My primary research interest is to enable robots to manipulate various objects under uncertainty and acquire diverse manipulation skills. More broadly, I am interested in domain adaptation for model-based reinforcement learning and machine learning with physics priors for motion prediction. In the past I have worked on a variety of problems in robotics and computer graphics. In robotics, I have worked on multi-contact nonprehensile manipulation, and error-detection and recovery in multi-step planning. For robot vision, I have worked on SLAM-based object pose estimation. In computer graphics, I have worked on skin deformation and lighting for 3D animation.
Lee, G., Deng, Z., Ma, S., and Shiratori, T. and Srinivasa, S.S. and Sheikh, Y.
Talking With Hands 16.2M: A Large-Scale Dataset of Synchronized Body-Finger Motion and Audio for Conversational Motion Analysis and Synthesis,
In International Conference on Computer Vision (ICCV). 2019.
- Lee, G., Feng, R., Kim, Y., Gordon, E.K., Schmittle, M., Kumar, S., Bhattacharjee, T., Srinivasa, S.S.
Robot-Assisted Feeding: Generalizing Skewering Strategies across Food Items on a Plate.
In International Symposium on Robotics Research (IJRR). 2019.
Lee, G., Hou, B., Mandalika, A., Lee, J., Choudhury, S., and Srinivasa, S.S. Bayesian Policy Optimization for Model Uncertainty,
In International Conference on Learning Representations (ICLR). 2019.
Sheikholeslami, S., Lee, G., Hart, J.W., Srinivasa, S.S., and Croft. E.A.
A Study of Reaching Motions for Collaborative Human-Robot Interaction,
In International Symposium on Experimental Robotics (ISER). 2018.
Bhattacharjee, B., Lee, G., Song, H., and Srinivasa. S.S.
Towards Robotic Feeding: Role of Haptics in Fork-based Food Manipulation.
IEEE Robotics and Automation Letters (IEEE RA-L). 2019
- Choudhury, S., Hou, Y., Lee, G., and Srinivasa, S. Hybrid DDP in Clutter (CHDDP): Trajectory Optimization for Hybrid Dynamical System in Cluttered Environments,
arXiv:1710.05231. [cs.RO], 2017. [paper]
Lee, G., Srinivasa, S., and Mason, M. GP-ILQG: Data-driven Robust Optimal Control for Uncertain Nonlinear
Dynamical Systems, arXiv:1705.05344 [cs.RO], 2017. [paper]
Lee, G., Marinho, Z., Johnson, M., Gordon, G., Srinivasa, S., and Mason, M. Unsupervised Learning for Nonlinear PieceWise Smooth Hybrid Systems
Srinivasa, S., Lee, G., et. al. A System for Multi-Step Mobile Manipulation: Architecture, Algorithms, and Experiments, International Symposium on Experimental Robotics (ISER), 2016. [paper]
Lee, G., Kaelbling, L. and Lozano-Perez, T. Hierarchical planning for multi-contact non-prehensile manipulation, IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2015. Best Paper Finalist. [paper] [video]
Lee, G., Choudhury, S., Hou, B. and Srinivasa, S.
Residual Bayesian Q-Learning for Meta-Reinforcement Learning with Experts
Combining Learning and Reasoning – Towards Human-Level Robot Intelligence, R:SS, 2019.
Lee, G., Bhattacharjee, T. and Srinivasa, S.
Bite Acquisition of Soft Food Items via Reconfiguration
Task-Informed Grasping (TIG-II): From Perception to Physical Interaction, R:SS, 2019.
Here is my CV.
Kwanjeong Educational Foundation Fellowship (2015 - 2019)
CMU School of Computer Science Presidential Fellowship (2016 - 2017)
IROS Best Paper Finalist (2015)
Samsung Scholarship (2006 – 2010)
CMU RI Robot Autonomy (16-662) - Teaching Assistant (Spring 2017)
MIT Elements of Software Construction (6.005) - Teaching Assistant (Spring and Fall 2014, & Spring 2015)