Different Target Prediction Algorithms for Automotive, HRI and VR Digital Twin

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• Prof. Pradipta Biswas, Indian Institute of Science
• Wednesday 11 September 2024, 14:00-15:00
• LT6, Baker Building, CUED.

If you have a question about this talk, please contact Prof. Ramji Venkataramanan.

Target prediction or intent recognition has been studied for many applications ranging from aviation, social computing, human machine interaction and so on. At its simplest form, target prediction may take the form of linear extrapolation to more complex activity of intent recognition or behaviour forecasting in the domain of social computing. The present paper investigates multimodal target prediction for human robot handover requests. Following Newell’s time scale of human actions, the prediction worked at the cognitive band or at the range of 1/10th to tens of seconds. This talk will explore different technologies and applications for human movement prediction ranging from finger movement to walking trajectories. The talk will start with an application of using artificial neural network-based target prediction for different input modalities to reduce pointing time in a GUI (Graphical User Interface). Next, I shall move on to using and comparing different Inverse Reinforcement Learning based algorithms to predict target for a human robot handover task and combining hand trajectory with eye gaze fixation. Finally, a particle filter based approach will be discussed for walking trajectory prediction for a VR digital twin of office space.

Bio: Pradipta Biswas is an Associate Professor at the Department of Design and Manufacturing and associate faculty at the Robert Bosch Centre for Cyber Physical Systems of Indian Institute of Science. 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 research focuses on user modelling and multimodal human-machine interaction for aviation and automotive environments and for assistive technology. I set up and lead the Interaction Design (I3D) Lab, https://cambum.net/I3D.htm. His research won Microsoft’s AI 4 Accessibility Grant Award, Facebook’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 Research and Development Organization (DRDO), Departments of Science & Technology (DST) and BioTechnology (DBT) and was featured in New Scientist, NDTV , All India Radio and various other media outlets. Earlier, he was a Senior Research Associate at Engineering Department, Research Fellow at Wolfson College and Research Associate at Trinity Hall of University of Cambridge. He completed PhD in Computer Science at University of Cambridge Computer Laboratory and Trinity College in 2010 and was awarded a Gates-Cambridge Scholarship in 2006. He is a member of the UKRI International Development Peer Review College, Association of Computing Machinery (ACM) and was a professional member of the Society of Flight Test Engineers British Computer Society, Associate Fellow at the UK Higher Education Academy and Royal Society of Medicine.

This talk is part of the Signal Processing and Communications Lab Seminars series.

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