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Senior Engineering Manager, Google CoreML
PUBLICATIONS
Deep RL at Scale:
Sorting Waste in Office Buildings
with a Fleet of Mobile Manipulator
Alexander Herzog, Kanishka Rao,Karol Hausman,Yao Lu, Paul Wohlhart, Mengyuan Yan, Jessica Lin, Montserrat Gonzalez Arenas, Ted Xiao, Daniel Kappler, Daniel Ho, Jarek Rettinghouse, Yevgen Chebotar, Kuang-Huei Lee, Keerthana Gopalakrishnan, Ryan Julian, Adrian Li, Chuyuan Kelly Fu, Bob Wei, Sangeetha Ramesh, Khem Holden, Kim Kleiven, David Rendleman, Sean Kirmani, Jeff Bingham, Jon Weisz, Ying Xu, Wenlong Lu, Matthew Bennice, Cody Fong, David Do, Jessica Lam, Yunfei Bai, Benjie Holson, Michael Quinlan, Noah Brown, Mrinal Kalakrishnan, Julian Ibarz, Peter Pastor, Sergey Levine​
Robotics: Science and Systems (RSS), 2023
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On Designing a Learning Robot:
Improving Morphology for Enhanced Task Performance and Learning
Maks Sorokin, Chuyuan Fu, Jie Tan, C. Karen Liu,
Yunfei Bai, Wenlong Lu, Sehoon Ha, Mohi Khansari
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
Scalable Multi-Sensor Robot Imitation Learning via Task-Level Domain Consistency
Armando Fuentes, Daniel Ho, Eric Victor Jang, Matt Bennice, Mohi Khansari, Nicolas Sievers, Sean Kirmani, Yunfei Bai, Yuqing Du
IEEE International Conference on Robotics and Automation (ICRA) (2023)
COCOI: Contact-aware Online Context Inference for
Generalizable Non-planar Pushing
Zhuo Xu, Wenhao Yu, Alexander Herzog, Wenlong Lu, Chuyuan Fu, Masayoshi Tomizuka, Yunfei Bai, C. Karen Liu, Daniel Ho
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
RetinaGAN: An Object-aware Approach to Sim-to-Real Transfer
Daniel Ho, Kanishka Rao, Zhuo Xu, Eric Jang, Mohi Khansari, Yunfei Bai
IEEE International Conference on Robotics and Automation (ICRA), 2021
SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement Learning
Yifeng Jiang, Tingnan Zhang, Daniel Ho, Yunfei Bai, C. Karen Liu, Sergey Levine, Jie Tan
IEEE International Conference on Robotics and Automation (ICRA), 2021
Learning Fast Adaptation with Meta Strategy Optimization
Wenhao Yu, Jie Tan, Yunfei Bai, Erwin Coumans, Sehoon Ha
IEEE International Conference on Robotics and Automation (ICRA), 2020
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Online Object Representations with Contrastive Learning
Sören Pirk, Mohi Khansari, Yunfei Bai, Corey Lynch, Pierre Sermanet
IEEE International Conference on Robotics and Automation (ICRA), 2020
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Watch, Try, Learn: Meta-Learning from Demonstrations and Reward
Allan Zhou, Eric Jang, Daniel Kappler, Alex Herzog, Mohi Khansari, Paul Wohlhart, Yunfei Bai, Mrinal Kalakrishnan, Sergey Levine, Chelsea Finn ​​
International Conference on Learning Representations (ICLR), 2020
Sim-to-Real: Learning Agile Locomotion For Quadruped Robots
Jie Tan, Tingnan Zhang, Erwin Coumans, Atil Iscen, Yunfei Bai, Danijar Hafner, Steven Bohez, and Vincent Vanhoucke
Robotics: Science and Systems (RSS), 2018
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke
IEEE International Conference on Robotics and Automation (ICRA), 2018
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Multi-task Domain Adaptation for Deep Learning of
Instance Grasping from Simulation
Kuan Fang, Yunfei Bai, Stefan Hinterstoisser, Mrinal Kalakrishnan
IEEE International Conference on Robotics and Automation (ICRA), 2018
Learning 6-DOF Grasping Interaction via Deep 3D Geometry-aware Representations
Xinchen Yan, Jasmine Hsu, Mohi Khansari, Yunfei Bai, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee
IEEE International Conference on Robotics and Automation (ICRA), 2018
Using Simulation and Domain Adaptation to Improve Efficiency of Deep Robotic Grasping
Konstantinos Bousmalis, Alex Irpan, Paul Wohlhart, Yunfei Bai, Matthew Kelcey, Mrinal Kalakrishnan, Laura Downs, Julian Ibarz, Peter Pastor, Kurt Konolige, Sergey Levine, Vincent Vanhoucke
NIPS Workshop, 2017
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Learning to Predict Grasping Interaction with Geometry-aware 3D Representations
Xinchen Yan, Mohi Khansari, Yunfei Bai, Jasmine Hsu, Arkanath Pathak, Abhinav Gupta, James Davidson, Honglak Lee
RSS Workshop, 2017
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Artist-directed Dynamics for 2D Animation
Yunfei Bai, Danny Kaufman, C. Karen Liu, Jovan Popović
ACM Transactions on Graphics (SIGGRAPH), 2016
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Dexterous Manipulation of Cloth
Yunfei Bai, Wenhao Yu, C. Karen Liu
Computer Graphics Forum (Eurographics), 2016
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Coupling Cloth and Rigid Bodies for Dexterous Manipulation
Yunfei Bai, C. Karen Liu
ACM SIGGRAPH Conference on Motion in Games (MIG), 2014
Best Student Paper Award
Dexterous Manipulation Using Both Palm and Fingers
Yunfei Bai, C. Karen Liu
IEEE International Conference on Robotics and Automation (ICRA), 2014
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Synthesis of Concurrent Object Manipulation Tasks
Yunfei Bai, Kristin Siu, C. Karen Liu
ACM Transactions on Graphics (SIGGRAPH Asia), 2012
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Human Motion Reconstruction from Force Sensors
Sehoon Ha, Yunfei Bai, C. Karen Liu
ACM SIGGRAPH/Eurographics Symposium on Computer Animation, 2011
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Self-Adaptive Blind Super-Resolution Image Reconstruction
Yunfei Bai, Jing Hu, Yupin Luo
IEEE International Congress on Image and Signal Processing (CISP), 2010​
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