Vignesh Prasad

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Research Interests

Human-Robot Interaction, Interaction Modelling, Human Motion Prediction, Computer Vision, SLAM, Robot Navigation

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Contact Information

Mail. Vignesh Prasad
TU Darmstadt, FG MuP
Hochschulstr. 1, 64289 Darmstadt
Office. S1|02 145
work+49-6151-16-24475

Vignesh Prasad joined TU Darmstadt in July 2019 as a Ph.D. student jointly supervised by Jan Peters and Prof. Ruth Stock-Homburg as part of the Handshaking Turing Test project by the Forum for Interdisciplinary Research (FiF). During his Ph.D., Vignesh is investigating the learning of human-like physically interactive behaviours for humanoid robots. His current areas of research include Human-Robot Interaction, Human Motion Prediction, Learning from Demonstrations and Social Robotics.

Prior to this, Vignesh worked as a researcher in the Machine Vision Group at TCS Innovation Labs, Kolkata under Dr. Brojeshwar Bhowmick, where he worked on Deep Learning for Monocular 3D Reconstruction and Computer Vision. Vignesh pursued his Bachelors and Masters in Computer Science and Engineering from the International Institute of Information Technology (IIIT), Hyderabad, India. His Master's thesis "Learning Effective Navigational Strategies for Active Monocular Simultaneous Localization and Mapping" was done at the Robotics Research Center under Dr. K. Madhava Krishna in collaboration with Prof. Balaraman Ravindran.

Publications

 Prasad, V.; Stock-Homburg, R.; Peters, J. (2021). Human-Robot Handshaking: A Review, International Journal of Social Robotics.
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Prasad, V.; Stock-Homburg, R.; Peters, J. (2021). Learning Human-like Hand Reaching for Human-Robot Handshaking, Proceedings of the IEEE International Conference on Robotics and Automation (ICRA).
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Stock-Homburg, R.; Peters, J.; Schneider, K.; Prasad, V.; Nukovic, L. (2020). Evaluation of the Handshake Turing Test for anthropomorphic Robots, Proceedings of the ACM/IEEE International Conference on Human Robot Interaction (HRI), Late Breaking Report.
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Prasad, V.; Stock-Homburg, R.; Peters, J. (2020). Advances in Human-Robot Handshaking, International Conference on Social Robotics, Springer.
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For a full list of his publications, please see his Google Scholar page.

Supervision

Master Thesis

  • Kohl, M. (2021) "Learning Latent Interaction Models using Interaction Primitives"
  • Seer, S. (ongoing) "Learning Visual representations for Interactive tasks"
  • Yang, Z. (ongoing) "Exploring Gripping Behaviours and Haptic Emotions for Human-Robot Handshaking"
  • Redkin, M. (ongoing) "Personalizing Customer Interactions with Service Robots using Hand Gestures"

Bachelor Thesis

  • Baierl, M. (2020) "Learning Action Representations For Primitives-Based Motion Generation"
  • Ajmera, Y. (2021) "Learning Movement Primitives for Handshaking Behaviours"
  • Scherbring, L. (2021) "Analyzing the role of Physical Interactions on Robot Acceptance"
  • Gassen, M. (ongoing) "Learning a library of Physical Interactions for Social Robots"

  

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