Hashini Senaratne

When humans and robots work together, human’s awareness of robots and the environment needs to be dynamically updated and maintained optimally (i.e., without trying to become aware of everything unwantedly or ignoring important information bits). In this pitch, Hashini explains her ongoing work and future research plans to develop user models utilising human biosignals to estimate fine-grained measures of situational awareness, generate qualitative frameworks describing dynamic optimal situational awareness, and improve human-robot interfaces utilising such user models and frameworks, to assist better human-robot collaboration.