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UID:event-70@tuemeche.nl
DTSTAMP:20261007T234716Z
DTSTART;TZID=Europe/Amsterdam:20261118T133000
DTEND;TZID=Europe/Amsterdam:20261118T150000
SUMMARY:From Mind to Matter
DESCRIPTION:Speaker: Benn Proper\nHost: Irene Kuling\n\nThe human hand is
  one of nature’s most complex and versatile structures\, enabling the u
 nmatched ability to manipulate and sense the surrounding world. The capab
 ility to interact with the world with precision and strength have empower
 ed people to create anything from art to technology\, making the loss of 
 hands through injury\, disease\, and congenital conditions a significant 
 for a challenge in a society that is built around them. While recent adva
 nces in prosthetic hardware design have emphasised accessibility\, open-s
 ource solutions\, and ease of adoption\, current devices remain far less 
 capable than the human hand. With the ultimate goal of designing function
 al integrated neuro-prosthetics\, the next vital stepping stone needed is
  a focus on adaptivity\, where the hard- and software are designed to be 
 able to handle and learn from any scenario that a person finds themselves
  in. \n\nIn this dissertation\, I address the needed step towards adaptiv
 e prosthetics using both passive and active adaptive approaches. For pass
 ive adaptivity\, an anthropomorphic hand is designed using soft robotics 
 due to their inherent flexibility and shape conformity. However\, where s
 oft actuators have unparalleled shape conformity due to this flexibility\
 , this comes at a sacrifice to their strength. To ensure that these soft 
 actuators can be used to achieve a stable grasp on objects of varying wei
 ghts\, several manufacturing techniques were developed to integrate the a
 ctuators with rigid components to constrain degrees of freedom\, improvin
 g force transmission. For active adaptivity\, the prosthetic hand is outf
 itted with an organic neuromorphic circuit and temperature sensors. This 
 neuromorphic circuit\, inspired by the function of the human temperature 
 reflex\, uses organic transistors to respond to temperature stimuli\, and
  adjusting its sensitivity automatically based on its experiences after i
 ntegrating it into a traditional feedback control loop on the prosthetic 
 hand. This proof-of-principle hand shows the strengths of a multidiscipli
 nary approach to adaptive gripping\, resulting in a system that aligns cl
 oser with the capabilities of the human hand than before.\n\nMore info: h
 ttps://www.tue.nl/en/research/researchers/benn-proper/
LOCATION:Atlas 0.710
URL:https://tuemeche.nl/peoplepages/event.php?id=70
CATEGORIES:PhD Defense
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