Lawrence Yunliang Chen

I am a 2nd year PhD student at UC Berkeley IEOR, advised by Professor Ken Goldberg. I am a member of the AUTOLAB, which is part of the Berkeley Artificial Intelligence Research (BAIR) Lab. I did my undergraduate at UCLA with double majors in Applied Math and Statistics, where I was advised by Professor Jungseock Joo.

Email  /  CV  /  LinkedIn

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Research

I'm interested in machine learning and robot manipulation. I will update this section when I stop procrastinating :).

Planar Robot Casting with Real2Sim2Real Self-Supervised Learning
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


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