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SUMMARY:Different Target Prediction Algorithms for Automotive\, HRI and VR
  Digital Twin - Prof. Pradipta Biswas\, Indian Institute of Science
DTSTART:20240911T130000Z
DTEND:20240911T140000Z
UID:TALK220615@talks.cam.ac.uk
CONTACT:Prof. Ramji Venkataramanan
DESCRIPTION:Target prediction or intent recognition has been studied for m
 any applications ranging from aviation\, social computing\, human machine 
 interaction and so on. At its simplest form\, target prediction may take t
 he form of linear extrapolation to more complex activity of intent recogni
 tion or behaviour forecasting in the domain of social computing. The prese
 nt paper investigates multimodal target prediction for human robot handove
 r requests. Following Newell’s time scale of human actions\, the predict
 ion worked at the cognitive band or at the range of 1/10th to tens of seco
 nds. This talk will explore different technologies and applications for hu
 man movement prediction ranging from finger movement to walking trajectori
 es. The talk will start with an application of using artificial neural net
 work-based target prediction for different input modalities to reduce poin
 ting time in a GUI (Graphical User Interface). Next\, I shall move on to u
 sing and comparing different Inverse Reinforcement Learning based algorith
 ms to predict target for a human robot handover task and combining hand tr
 ajectory with eye gaze fixation. Finally\, a particle filter based approac
 h will be discussed for walking trajectory prediction for a VR digital twi
 n of office space.\n\n*Bio*:  Pradipta Biswas is an Associate Professor at
  the Department of Design and Manufacturing and associate faculty at the R
 obert Bosch Centre for Cyber Physical Systems of Indian Institute of Scien
 ce. He has been elected as a vice chairman of ITU Study Group 9 and also a
  Co-Chair of the IRG AVA at International Telecommunication Union. His res
 earch focuses on user modelling and multimodal human-machine interaction f
 or aviation and automotive environments and for assistive technology. I se
 t up and lead the Interaction Design (I3D) Lab\, https://cambum.net/I3D.ht
 m. His research won Microsoft’s AI 4 Accessibility Grant Award\, Faceboo
 k’s Responsible AR/VR Award and research grants from Collins Aerospace\,
  Siemens\, British Telecom (on AR/VR Systems)\,  Faurecia Groupe Services 
 Ltd. (on Automotive UI)\, Wipro Ltd (On Autonomous Vehicle)\, Defence Rese
 arch and Development Organization (DRDO)\, Departments of Science & Techno
 logy (DST) and BioTechnology (DBT) and was featured in New Scientist\, NDT
 V\, All India Radio and various other media outlets. Earlier\, he was a Se
 nior Research Associate at Engineering Department\, Research Fellow at Wol
 fson College and Research Associate at Trinity Hall of University of Cambr
 idge. He completed PhD in Computer Science at  University of Cambridge Com
 puter Laboratory and Trinity College in 2010 and was awarded a Gates-Cambr
 idge Scholarship in 2006. He is a member of the UKRI International Develop
 ment Peer Review College\, Association of Computing Machinery (ACM) and wa
 s a professional member of the Society of Flight Test Engineers British Co
 mputer Society\, Associate Fellow at the UK Higher Education Academy and R
 oyal Society of Medicine.
LOCATION:LT6\, Baker Building\, CUED
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