Human Robot
Human-robot interaction (HRI) research focuses on designing robots that can effectively collaborate with humans, encompassing physical tasks, communication, and shared decision-making. Current research emphasizes improving robot perception and control through techniques like model predictive control, reinforcement learning, and the integration of large language models for natural communication and intent recognition. These advancements aim to create safer, more efficient, and intuitive human-robot teams for applications ranging from industrial assembly to assistive robotics, impacting both the robotics and human-computer interaction fields.
Papers
Simultaneous Human-robot Matching and Routing for Multi-robot Tour Guiding under Time Uncertainty
Bo Fu, Tribhi Kathuria, Denise Rizzo, Matthew Castanier, X. Jessie Yang, Maani Ghaffari, Kira Barton
Human-Robot Collaborative Carrying of Objects with Unknown Deformation Characteristics
Doganay Sirintuna, Alberto Giammarino, Arash Ajoudani