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SUMMARY:CNP Seminar // Benjamin Tee - Scaling Neuromorphic Electronic Skin
 s
DTSTART:20220427T090000
DTEND:20220427T100000
DTSTAMP:20260527T190455Z
UID:f1b0b1e1b07f9c08ce5ecb91e3e0ad3692e9cb2ddc4b35b3e09d7a1b
CATEGORIES:Conferences - Seminars
DESCRIPTION:Benjamin Tee\nNeuromorphic engineering1 aims to mimic the high
  performance and efficiency of the human senses. Coupled with the advancem
 ents in neuroprosthetics2\,3\, neuromorphic electronic skins can enable in
 tuitive and lifelike use of replacement limbs and autonomous robots often 
 depicted in science fiction movies. My talk will discuss a brief history o
 f somatosensory science and how advancements in materials\, electronics an
 d signal processing can enable the next generation of prosthetics\, robots
  and human-machine interfaces. Some of the recent advances in our group ai
 ms to address several gaps in the translation of electronic skins to real-
 world use. Some of the challenges we aim to tackle include electro-mechani
 cal designs of sensors4\, electrodes and repairability5 of the system. Our
  goal is to enable large area and density/number scaling of skin like devi
 ces to allow machines to safely and effectively work with humans\, whether
  in an implanted device such as a prosthetic or as a standalone robot6. \
 n\n\nReferences\n\n1.        Mead\, C. Neuromorphic Electronic Syst
 ems. Proceedings - IEEE International Symposium on Circuits and Systems vo
 l. 78 1629 (1990).\n2.        D’Anna\, E. et al. A closed-loop ha
 nd prosthesis with simultaneous intraneural tactile and position feedback.
  Sci. Robot. 4\, eaau8892 (2019).\n3.        Li\, P.\, Anwar Ali\, 
 H. P.\, Cheng\, W.\, Yang\, J. & Tee\, B. C. K. Bioinspired Prosthetic Int
 erfaces. Adv. Mater. Technol. n/a\, 1900856 (2020).\n4.        Guo\
 , H. et al. Artificially innervated self-healing foams as synthetic piezo-
 impedance sensor skins. Nat. Commun. 11\, 5747 (2020).\n5.        T
 an\, Y. J.\, Susanto\, G. J.\, Anwar Ali\, H. P. & Tee\, B. C. K. Progress
  and Roadmap for Intelligent Self-Healing Materials in Autonomous Robotics
 . Adv. Mater. 33\, 2002800 (2021).\n6.        Lee\, W. W. et al. A 
 neuro-inspired artificial peripheral nervous system for scalable electroni
 c skins. Sci. Robot. 4\, eaax2198 (2019).\n\nBiography\n\nDr. Benjamin C.K
 . Tee is Associate Professor in Materials Science and Engineering Departme
 nt at the National University of Singapore (NUS). He is a recipient of the
  National Research Foundation Fellowship and He obtained his PhD at Stanfo
 rd University. He has developed\, patented and commercializing several awa
 rd-winning electronic skin sensor technologies. He is an MIT TR35 Innovato
 r (Global) in 2015 and listed as World Economic Forum’s Young Scientist 
 of the year in 2019. He was featured by CNN International as one of their 
 Tomorrow’s Hero series and by Channel News Asia International in the ASE
 AN’s Next Generation Leaders documentary series. His leads his research 
 group: Sensors.AI to develop technologies at the cutting edge of materials
  science\, mechanics\, electronics and biology\, with a focus on sensitive
  electronic skins that has tremendous potential to advance global healthca
 re technologies in an increasingly Artificial Intelligence (AI) era. He ca
 n be found on www.benjamintee.com   \n 
LOCATION:https://epfl.zoom.us/j/69033815222?pwd=U3M0dWp0bEVXSXd1ZUtJUTVWSE
 JIdz09
STATUS:CONFIRMED
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