Niyati Rawal

Joint Postdoctoral Researcher at IAIRO-BITS, India

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I am currently working as a Joint Postdoctoral Researcher at IAIRO-BITS, India. Previously, I was an Early-Stage Researcher in the PERSEO project at the University of Modena and Reggio Emilia, Italy.

My research focuses on combining vision and language for applications in Human–Robot Interaction. I have also worked on emotion expression in Human–Robot Interaction (TU Darmstadt, Germany), human activity recognition and prediction (Inria Nancy, France), the comparison of deontology and utilitarianism in a Pac-Man game setting using knowledge representation (Rovira i Virgili University / Open University of Catalonia, Spain), as well as investigating the mechanisms underlying the development of visual attention to faces during infancy (Osaka University, Japan).

news

Apr 3, 2025 I defended my PhD thesis titled “Integration of Vision and Language for Physical and Cognitive Human-Robot Interaction”!
Apr 8, 2024 Our paper titled “AIGeN: An Adversarial Approach for Instruction Generation in VLN” has got accepted at CVPRW 2024 (7th Multimodal Learning and Applications Workshop).
Jan 14, 2024 I will be a visiting PGR student at University of Manchester, United Kingdom as a part of my secondment in the PERSEO project.

selected publications

  1. ICSR
    Multimodal Dialogue for Empathetic Human-Robot Interaction
    Niyati Rawal, Rahul Singh Maharjan, Giacomo Salici, Riccardo Catalini, Marta Romeo, Roberto Bigazzi, Lorenzo Baraldi, Roberto Vezzani, Rita Cucchiara, Angelo Cangelosi, and  others
    In Proceedings of the International Conference on Social Robotics (ICSR) 2025
  2. Unmute: Unifying Navigation and Multimodal Dialogue-Like Text Generation
    Niyati Rawal, Roberto Bigazzi, Lorenzo Baraldi, and Rita Cucchiara
    Available at SSRN 4777514 2025
  3. CVPRW
    AIGeN: An Adversarial Approach for Instruction Generation in VLN
    Niyati Rawal, Roberto Bigazzi, Lorenzo Baraldi, and Rita Cucchiara
    In 2024
    Accepted in Computer Vision and Pattern Recognition Workshop
  4. Frontiers
    ExGenNet: Learning to Generate Robotic Facial Expression Using Facial Expression Recognition
    Niyati Rawal, Dorothea Koert, Cigdem Turan, Kristian Kersting, Jan Peters, and Ruth Stock-Homburg
    Frontiers in Robotics and AI 2022