Baiyu Shi
I'm a 1st. year Mechanical Engineering PhD student at Stanford University advised by Professor Zhenan Bao.
Previously, I did my undergraduate at UC Berkeley with double majors in Bioengineering and Electrical Engineering and Computer Science (EECS),
and was fortunate to be advised by Professor Robert Full,
Professor Ken Goldberg, and Professor Gerard Marriott.
My research interests lie at the intersection of materials, electrical engineering, mechanical engineering, machine learning, and robotics.
Email  / 
CV  / 
Google Scholar
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Research
I'm broadly interested in novel sensing modalities, human-robot interaction, mechanical design, and robot learning and manipulation.
I'm also very interested in wearables, biosensors, and diagonostic devices. Below, you can find my publications.
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Bagging by Learning to Singulate Layers Using Interactive Perception
Lawrence Yunliang Chen, Baiyu Shi, Roy Lin, Daniel Seita, Ayah Ahmad, Richard Cheng, Thomas Kollar, David Held, Ken Goldberg
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2023
(Best Industrial Robotics Research for Applications Finalist)
ArXiv  / 
Project Website
We develop a system that grasps a single layer of plastic bags and fabrics using purely visual feedback and improve our previous bagging algorithm.
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AutoBag: Learning to Open Plastic Bags and Insert Objects
Lawrence Yunliang Chen, Baiyu Shi, Daniel Seita, Thomas Kollar, David Held, Ken Goldberg
IEEE International Conference on Robotics and Automation (ICRA), 2023
ArXiv  / 
Project Website
We develop an algorithm to enable a bimanual robot to open an unstructured bag, to insert objects into the bag, and to lift the bag for transport.
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Automating Vascular Shunt Insertion with the dVRK Surgical Robot
Karthik Dharmarajan*, Will Panitch*, Muyan Jiang, Kishore Srinivas, Baiyu Shi,
Yahav Avigal, Huang Huang, Thomas Low, Danyal Fer, Ken Goldberg
IEEE International Conference on Robotics and Automation (ICRA), 2023
ArXiv  / 
Project Website
We formulate a problem of automatic vascular shunt insertion and develop an algorithm to perform Automated Vascular Shunt Insertion (AVSI) using a da Vinci Research Kit (dVRK).
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