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X-ORIGINAL-URL:https://ece.hku.hk
X-WR-CALDESC:Events for Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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TZID:Asia/Hong_Kong
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TZOFFSETTO:+0800
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DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240422T140000
DTEND;TZID=Asia/Hong_Kong:20240422T150000
DTSTAMP:20260513T011615
CREATED:20240411T073647Z
LAST-MODIFIED:20250114T064909Z
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SUMMARY:A Bottom-up Approach Towards Generalizable Robot Learning
DESCRIPTION:Abstract:\nThe rise of data-driven methods in robotics has significantly enhanced a robot’s capacity for perception\, reasoning\, and acting. However\, the challenge and expense of collecting a diverse dataset with robots prevent learning control policies that are generalizable across various settings and tasks. Alternatively\, while data sources like videos and robot play data are scalable\, they are often not directly applicable due to the domain gaps and the absence of optimal action labels. In this talk\, I will discuss my research on learning visual representations\, particle trajectory models\, and particle dynamics models from these data to learn generalizable low-level policies. These structured representations enable the learned policies to generalize to novel objects and configurations. I will conclude by demonstrating how these low-level skills can be assembled to tackle long-horizon and novel tasks. \nBiography of the Speaker:\nDr. Xingyu LIN is a postdoctoral researcher at the University of California Berkeley\, working with Pieter Abbeel. His research lies at the intersection of computer vision\, machine learning and robotics\, with a focus on learning robust manipulation skills that generalize to novel objects\, tasks and deformable objects. He holds a PhD from the Robotics Institute at Carnegie Mellon University\, advised by David Held. Prior to that\, he received his undergraduate degree in computer science from Peking University. His research has been published at top conferences\, including CoRL\, RSS\, NeurIPS and ICLR. He was also selected as an RSS (Robotics Science and System) 2022 Pioneer. \nOrganizer: Prof. Kaibin HUANG \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240422-2/
LOCATION:Online via Zoom
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/04/1280-4.jpg
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DTSTART;TZID=Asia/Hong_Kong:20240422T160000
DTEND;TZID=Asia/Hong_Kong:20240422T180000
DTSTAMP:20260513T011615
CREATED:20240321T060529Z
LAST-MODIFIED:20250114T064821Z
UID:18115-1713801600-1713808800@ece.hku.hk
SUMMARY:Organoid Printing for Precision Cancer Medicine and Regeneration Therapy
DESCRIPTION:Speaker\nDr. Shaohua MA\nAssociate Professor\,\nInstitute of Biopharmaceutical and Health Engineering (iBHE)\,\nTsinghua Shenzhen International Graduate School (SIGS) \nAbstract\nOrganoids are three-dimensional micro-replicas of human organs in of human organs in either physiological or pathological states. Organoids are expected to provide personalised drug treatment choices by assessing drug efficacy and toxicity in efficacy and toxicity in vitro\, or augment regenerative therapy by exploiting their colonized of their colonised stem cell-like capacities. Here we report a bead-jet bead-printing method that is suitable for both reproducible and high-throughput formulation and patterning of organoids. It allows organoid printing in both parallel culture chambers\, such as 96-well plates\, and irregular wounds. It also has significant translation potential by providing an automated tool for organoid and living bead printing. \nBiography of the Speaker\nDr. Shaohua MA received his B.Eng. from the Department of Polymer Materials and Engineering at Sun Yat-sen University in 2009\, and Ph.D. from the Department of Chemistry at the University of Cambridge in 2013. He did postdoctoral training at the University of Oxford in 2013 – 2017 before joining Tsinghua University in 2017\, first as an assistant professor and then as associate professor (core-PI) at Tsinghua-Berkeley Shenzhen Institute (TBSI). He is now an associate professor with tenure at Institute of Biopharmaceutical and Health Engineering (iBHE)\, Tsinghua Shenzhen International Graduate School (SIGS). His research interests include intelligent microfluidics\, organoids and stem cell engineering\, organs-on-a-chip\, 3D bioprinting\, and has contributed over 40 papers as the corresponding author to these fields. \nOrganizer\nDr. Zhiqin CHU \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240422-1/
LOCATION:Room CB-601J\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
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