The Internet of Social Robots with Things (IoSRT)

Abstract

This literature review explored how ultra-wideband technologies may advance social robotics in the commercial domain, considering robot-human recognition and user modelling. Three existing articles entered the review, two were enriched using the systematic mapping study approach, following exclusions 123 papers entered into the inquiry. Focus areas included understanding how diminished user exposure affects adaptivity in social robots, their recognition modalities, impact of face masks, user modelling architectures and existing ultra- wideband implementations within the wider robotics realm. Results demonstrated the multi- faceted dependencies social robots have with faces, limited user exposure led to loss of key features, ultra-wideband had not been applied with social robots. Exploration of user modelling techniques points to Bayesian inference as a way to inform dialogue strategy. The next generation of social robot in the commercial space may be defined as an instrument within the wider cyber-physical system where it becomes a socially intelligent, knowledgeable agent. Ultra-wideband combined with systems from Industry 4.0 appear to not only hold the key to identifying humans accurately but could also add pseudo- autobiographical memory that does not require prior user exposure.