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DTSTART:20070311T020000
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X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC
UID:204326
DTSTAMP:20250213T113206Z
DTSTART;TZID=America/New_York:20250217T140000
DTEND;TZID=America/New_York:20250217T150000
URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/rbe-phd-qualifier-pre
 sentation-ritwik-pandey
SUMMARY:RBE PhD Qualifier Presentation - Ritwik Pandey
DESCRIPTION:Towards Soft, Printed Circuits and Sensors for Soft Robotic App
 lications\n\n\n\n      \n      \n\n\n\nAbstract: The popularity of soft ro
 bots and soft wearable devices has led to a need for effective monitoring 
 of strain, pressure, and electro-physiological signals. However, the integ
 ration of traditional circuits and sensing methods has proven to be challe
 nging, with researchers resorting to selective rigidisation of sections of
  the soft robot or wearable to house circuitry. This affects both the func
 tionality of the soft robot and the comfort of the wearable. Furthermore, 
 the number of wires required to acquire data from traditional sensors seve
 rely limits the achievable sensor density.To address these issues, we prop
 ose a suite of soft, printed sensors along with fully stretchable circuits
  to replace traditional sensor systems. We deploy a variety of additive ma
 nufacturing methods including screen printing, direct ink write (DIW), ste
 ncil printing, and casting to fabricate- (i) circuits with traditional sur
 face mount ICs and passives, fine traces and pitch (10mil – 250μm each) th
 at are able to stretch up to 225%; (ii) soft strain sensors with high rang
 e and linearity, and low hysteresis and drift; (iii) high response, linear
 , soft pressure sensors, and (iv) low impedance electrodes for electro-phy
 siological signal collection. We present results of each of these systems 
 functioning independently.  We aim to combine all of this to make a data c
 apture glove with fully printed stretchable circuitry that would be comfor
 table for prolonged usage. The glove would be able to capture finger flexi
 on (MCP \& PIP), pressure on the palm, and EMG signals from the upper and 
 lower arm. These sensors and electrodes would be read out by a printed str
 etchable circuit that incorporates conventional surface mount ICs and pass
 ives. The data from the sensors would be wirelessly transmitted to a compu
 ter or other device for AR or teleoperation applications.\nAdvisor: Profes
 sor Pratap RaoCommittee: Professor Loris Fichera, Professor Cagdas Onal\n
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