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I am a 3rd year PhD student at UC Berkeley, advised by Professor Ken Goldberg. My research interest lies in the intersection of Robotics and Machine Learning. I am a member of the AUTOLAB, which is part of the Berkeley Artificial Intelligence Research (BAIR) Lab. I am supported by the NSF Graduate Research Fellowship. I did my undergraduate at UCLA with double majors in Applied Math and Statistics, where I was advised by Professor Jungseock Joo. Email / CV / Google Scholar / LinkedIn / Twitter |
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I'm broadly interested in robot learning, manipulation, and perception. Here are some of my research papers. Please feel free to reach out! |
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Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg In Submission PDF / Website An algorithm for grasping a single layer of plastic bags and fabrics using purely visual feedback, and a much-improved bagging algorithm. |
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Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Richard Cheng, Thomas Kollar, Ken Goldberg IEEE International Conference on Robotics and Automation (ICRA), 2023 PDF / Website A semantic representation of plastic bags and an algorithm for a bimanual robot to open a plastic bag from unstructured configurations, to insert object(s) into it, and then to lift the bag. |
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Ryan Hoque, Lawrence Yunliang Chen, Satvik Sharma, Karthik Dharmarajan, Brijen Thananjeyan, Pieter Abbeel, Ken Goldberg Conference on Robot Learning (CoRL), 2022 (Oral Presentation, 6.5%) PDF / Website / Code A formalism, several new algorithms, and a benchmark for interactive fleet learning: interactive learning with multiple robots and multiple humans. |
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Lawrence Yunliang Chen*, Huang Huang*, Ellen Novoseller, Daniel Seita, Jeffrey Ichnowski, Michael Laskey, Richard Cheng, Thomas Kollar, Ken Goldberg The International Symposium on Robotics Research (ISRR), 2022 PDF / Website Given a new garment, quickly learn a fling action that can effectively smooth the garment with only one robot arm. |
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Lawrence Yunliang Chen, Huang Huang, Michael Danielczuk, Jeffrey Ichnowski, Ken Goldberg IEEE International Conference on Automation Science and Engineering (CASE), 2022 (Best Student Paper Finalist) PDF / Website Optimize the arrangement of objects on a shelf to make them easier to retrieve and search. |
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Vincent Lim*, Huang Huang*, Lawrence Yunliang Chen, Jonathan Wang, Jeffrey Ichnowski, Daniel Seita, Michael Laskey, Ken Goldberg IEEE International Conference on Robotics and Automation (ICRA), 2022 PDF / Website / Video / Press Using Real2Sim2Real to learn to manipulate a free-end cable so that the endpoint can accurately reach desired target positions on a planar surface. |
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Tae Myung Huh, Kate Sanders, Michael Danielczuk, Monica Li, Yunliang Chen, Ken Goldberg, Hannah S. Stuart IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021 PDF / Video A new suction cup design that contains multiple chambers for gripping and haptic exploration. |
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Yunliang Chen, Jungseock Joo IEEE/CVF International Conference on Computer Vision (ICCV), 2021 PDF (with appendix) / Code Analysis of annotation bias for many large public facial expression recognition datasets. |
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Lawrence Yunliang Chen, Massimiliano de Sa, Satvik Sharma, Vainavi Viswanathg Project advisor and sponsor: Jun Zeng Website / Code Berkeley EECS C106A/206A (Introduction to Robotics) Final Project |
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Graduate Student Instructor, IEOR 215: Analysis and Design of Databases, Spring 2022
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Website template from Jon Barron |