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DTSTART:20191027T030000
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UID:calendar.18966.field_data.0@www.ugov-ricerca.uniroma1.it
DTSTAMP:20260407T072304Z
CREATED:20191207T133337Z
DESCRIPTION:In robotics research the Replicability and Reproducibility (RR)
  of results and their objective evaluation and comparison is seldom practi
 ced. This situation impairs both research progress and technology transfer
 . Although significant progress has been made in recent years\, reproducib
 ility of robotics and AI research is still in its infancy\, and this preve
 nts serious development in benchmarking and verification of intelligent sy
 stems as the related scientific ground is unstable. Additional challenges 
 arise in medical and rescue robotics in which remote-controlled machines a
 re replacing humans in hazardous and dangerous tasks. In this talk I will 
 first discuss my personal experience in the area of artificial tactile fee
 dback\, an active field of applied research which aims to retrieve the hum
 an sense of touch and feedback information on external objects by employin
 g sensing mechanism with robotics devices.  I will present the steps towar
 d the realisation of a versatile system\, which can be embedded at the tip
  of a generic camera and fashioned for different robotic applications\, un
 derlining the challenge which arises in its RR for minimally invasive medi
 cal robotic systems. After\, I will introduce the remote-controlled techno
 logies developed in response to the disaster caused by the earthquake and 
 tsunami of 11 March 2011 in the Fukushima Daiichi Nuclear Power Plant\, an
 d propose possible solutions to reproducible and uniform research.Bio: Ang
 ela Faragasso received the MSc degree in Artificial Intelligence and Robot
 ics from Sapienza University of Rome in 2012. During her master she joined
  for one year the Center for Robot-Assisted Search and Rescue (CRASAR) at 
 the Texas A&M University. Her PhD project started in late 2012 at the Cent
 re for Robotics Research\, King’s College London and was funded by the EPS
 RC and the EU FP7 project STIFF-FLOP.  In November 2016 she won a JSPS pos
 tdoctoral research fellowship and joined the Service Robotics Laboratory a
 t the University of Tokyo\, where in April 2019 she was promoted to assist
 ant professor. Since 2018 Dr Faragasso has been Associate Editor of the IE
 EE Robotics and Automation Magazine (RAM) and junior co-chair of the IEEE 
 Technical Committee for Performance Evaluation & Benchmarking of Robotic a
 nd Automation Systems (TC-PEBRAS). Her research activities involve differe
 nt fields of robotics applications\, such as medical\, rescue and automati
 on. A constant in her research is the use of image processing algorithms t
 o perform autonomous control or to understand properties of objects in the
  environment\, i.e. stiffness\, in real-time. Additional research involves
  hybrid control\, intelligent construction systems and bio-inspired roboti
 cs. 
DTSTART;TZID=Europe/Paris:20191216T150000
DTEND;TZID=Europe/Paris:20191216T150000
LAST-MODIFIED:20200603T090930Z
LOCATION:A4\, DIAG
SUMMARY:SEMINAR - Angela Faragasso (University of Tokyo): Toward Reproducib
 le Research: Benchmarking and Verification in Medical and Remote-Controlle
 d Rescue Robotics - Angela Faragasso\, University of Tokyo
URL;TYPE=URI:http://www.ugov-ricerca.uniroma1.it/node/18966
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