MIT.nano February Seminar: Memristor-based hybrid analog-digital computing platform for mobile robotics
Monday, February 28, 2022 at 1:00pm to 2:00pmVirtual Event
Please join us for the February MIT.nano Seminar Series:
Wei Wu, PhD
Ming Hsieh Department of Electrical and Computer Engineering
University of Southern California
Date: Monday, February 28, 2022
Time: 1:00 PM - 2:00 PM EST
Location: Zoom webinar; register to receive the link.
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Algorithms for mobile robotic systems are generally implemented on purely digital computing platforms. Developing alternative computational platforms may lead to more energy efficient and responsive mobile robotics.
In this talk, Wu will 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 analogue circuits, and the rest of the system is implemented in digital circuits.
Using a model-free optimization method, the mobile robotic system can tune the conductance states of memristors adaptively to achieve optimal control performance. The robot using the hybrid analog-digital platform has a much better performance than using traditional digital circuits. Watch a demo video.
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 an associate professor at the Ming Hsieh Department of Electrical and Computer Engineering, University of Southern California.
Before joining USC in 2012, Wu 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 has coauthored 116 peer-reviewed scientific journal papers with 10620 citations, two book chapters, and more than 100 conference presentations, including 16 keynote and invited presentations. He has 118 granted US patents. Half of them were also filed internationally. His H-index is 49.
Wu is a co-editor of Applied Physics A and an associate editor of IEEE Transactions on Nanotechnologyand regional editor (North America) of Nanomanufacturing and Metrology. He was also an IEEE Nanotechnology Council 2015 and 2016 distinguished lecturer, and a recipient of USC Stevens Center for Innovation Commercialization Award 2020.