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PRODID:-//Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系 - ECPv6.16.0//NONSGML v1.0//EN
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X-WR-CALNAME:Department of Electrical and Computer Engineering (HKUECE) 電機與計算機工程系
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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TZOFFSETFROM:+0800
TZOFFSETTO:+0800
TZNAME:HKT
DTSTART:20230101T000000
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BEGIN:VEVENT
DTSTART;TZID=Asia/Hong_Kong:20240628T140000
DTEND;TZID=Asia/Hong_Kong:20240628T160000
DTSTAMP:20260512T170424
CREATED:20240619T032438Z
LAST-MODIFIED:20250114T043256Z
UID:18844-1719583200-1719590400@ece.hku.hk
SUMMARY:A Memristor-based Hybrid Analog-digital Cerebellum (Small Brain) for Mobile Robotics
DESCRIPTION:Abstract\nAlgorithms for mobile robotic systems are generally implemented on purely digital computing platforms. As complementary metal-oxide-semiconductor (CMOS) scaling approaches the end of the road\, the improvement of the throughput of digital processors and computing power efficiency is nearing its end. This issue not only affects the power requirements of large data centers but also limits the performance of mobile robotic systems with perception and actuation. Developing alternative computational platforms may lead to more energy-efficient and responsive mobile robotics. \nInspired by how human and animal brains work\, we report a hybrid analog-digital computing platform enabled by memristors on a mobile inverted pendulum robot. The “cerebellum” (sensor fusion + motion control) of this mobile robotic system is implemented in memristor-based analog circuits\, and the rest of the system is implemented in digital circuits. Such a platform can perform computation in the analog domain and thus removes the speed and energy efficiency bottleneck. The robot using the hybrid analog-digital platform demonstrated dramatic enhancement of speed and energy efficiency over the traditional digital platform. \nSpeaker\nProf. Wei WU\nProfessor\,\nMing Hsieh Department of Electrical and Computer Engineering\,\nUniversity of Southern Californi \nBiography of the Speaker\nProf. Wei WU graduated from Peking University with a BS in Physics in 1996 and received a Ph.D. in Electrical Engineering from Princeton University in 2003. He is a Professor at the Ming Hsieh Department of Electrical and Computer Engineering\, University of Southern California. Before joining USC in 2012\, he had worked as a research associate\, scientist\, and senior scientist at HP labs. His work includes nanoimprint lithography and applications in nano-electronics\, nano-photonics\, plasmonics\, chemical sensing\, and nano-electrochemical cells. He co-authored 126 peer-reviewed scientific journal papers with 12155 citations\, 2 book chapters\, and more than 150 conference presentations\, including 16 keynote and invited presentations. He has 119 granted US patents. Half of them were also filed internationally. His H-index is 503 He is a co-editor of Applied Physics A\, an associate editor of IEEE Transactions on Nanotechnology\, and a regional editor (North America) of Nanomanufacturing and Metrology. He was also an IEEE Nanotechnology Council 2015 and 2016 distinguished lecturer and a recipient of the USC Stevens Center for Innovation Commercialization Award 2020. \nOrganizer\nProf. Han WANG \nAll are welcome! We look forward to seeing you!
URL:https://ece.hku.hk/events/20240628-1/
LOCATION:Room CB-603\, 6/F\, Chow Yei Ching Building\, The University of Hong Kong
CATEGORIES:Seminar
ATTACH;FMTTYPE=image/jpeg:https://ece.hku.hk/wp-content/uploads/2024/06/1280-2.jpg
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