Parag Khanna

Parag Khanna is a Doctoral Student at the Division of Robotics, Perception and Learning, KTH Royal Institute of Technology. His work focuses on Human-Robot Interaction (HRI), particularly in developing adaptive techniques for robot-human handovers.

• University: KTH Royal Institute of Technology
• Department: Robotics, Perception and Learning

Khanna's research explores physical and social aspects of HRI. He studies human-human handovers to improve robotic grip release strategies and object weight adaptation. His work also delves into non-touch modalities like EEG and gaze tracking for intention detection.

His recent publications highlight advancements in data-driven control, failure explanations, and multimodal datasets for HRI. Notable works include the REFLEX Dataset and studies on adaptive grip release in human-robot collaborations.

• Key Research Areas:
  • Human-Robot Handovers
  • Machine Learning for Robotics
  • EEG and Gaze-Based Intention Detection
  • Failure Communication in Social HRI

Khanna is affiliated with the Digital Futures - Advanced Adaptive Intelligent Systems project, aiming to empower elderly and disabled individuals through autonomous robotics.