Lawrence Yunliang Chen

I am a 3rd year PhD student at UC Berkeley IEOR, 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

Research

I'm broadly interested in robot learning, manipulation, and perception. Here are my research papers. Feel free to reach out!

	AutoBag: Learning to Open Plastic Bags and Insert Objects 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.
	Fleet-DAgger: Interactive Robot Fleet Learning with Scalable Human Supervision 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.
	Efficiently Learning Single-Arm Fling Motions to Smooth Garments 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.
	Optimal Shelf Arrangement to Minimize Robot Retrieval Time 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.
	Real2Sim2Real: Self-Supervised Learning of Physical Single-Step Dynamic Actions for Planar Robot Casting 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.
	A Multi-Chamber Smart Suction Cup for Adaptive Gripping and Haptic Exploration 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.
	Understanding and Mitigating Annotation Bias in Facial Expression Recognition 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.

Class Projects

Anki Overdrive: Static Obstacle Detection and Avoidance
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

Teaching

Graduate Student Instructor, IEOR 215: Analysis and Design of Databases, Spring 2022

Website template from Jon Barron