HRIpreneur Thinking: Strategies Towards Faster Innovation and Commercialization of Academic HRI Research In recent years, there has been a rapid rise in new product innovations in robots, robotic devices, humanrobot interfaces, and social robots across the globe. This has largely been due to several interdisciplinary research u0026 development output from industries as well as a few robotics research institutions who have successfully embraced the convergence of braintech, robotics engineering, biomedical engineering, artificial intelligence, machine learning, and novel platform in humanmachine interactions. However, the rate and scale of innovation in humanrobot interaction (HRI) and their impact in creating social goods is still much slower compared to similar developments in other fields of research. We surmise that HRI innovation and commercialization of HRI products present unique challenges that are typically not encountered in other industries. Fragmented research, lack of supporting infrastructure and the gaps between lab research and user needs; as well as lack of venture capital investment in hardware products have led to sluggish innovation and longer duration of bringing those innovation into the realworld market. In this paper, we discuss the unique set of challenges faced by current HRI researchinnovation and propose some methodology to direct the academic intellectual resources towards faster commercialization of their research.

Service Robots in the Hospitality Industry: An Exploratory Literature Review The service sector is changing drastically due the use of robotics and other technologies, such as Artificial Intelligence (AI), Internet of things (IoT), Big Data and Biometrics. Consequently, further research opportunities in the service industry domain are also expected. In light of the above, the purpose of this paper is to explore the potentialities and limitations of service robots in the hospitality industry. To this end, this paper uses a conceptual approach based on a literature review. As a result, we found that in contexts of high customer contact, service robots should be considered to perform standardized tasks due to socialemotional and cognitiveanalytical complexity. The hospitality industry is therefore considered closely related to empathic intelligence, as the integration of service robots has not yet reached the desired stage of service delivery. In a seemingly farfetched context of our reality, organizations will have to decide whether the AI will allow the complete replacement of humans with robots capable of performing the necessary cognitive and emotional tasks. Or investing in balanced capacities by integrating robothuman systems that seems a reasonable option these days.