R1T1 has a broad spectrum of applications across the health sector, and is specially designed to give the feeling of human presence in remote places. R1T1 is beyond conventional, currently, it is extremely versatile and may be used in the most varied areas of activity since it is autonomous, may be controlled locally or remotely, and only requires an Internet connection. It fully integrates with all hospital equipment and is capable of identifying the blood stream, respiratory and heart beats of a person without having to touch them, as well as an emotion recognition detector, which shows how the person feels at the moment he or she is being “read” by the robot.
The project uses Natural Language Generation, Natural Recognition, Virtual Agents, AI-optimized hardware, Decision Making, Biometric Techniques, Robotics Automation Processes, Natural Language Processing, Contents Development, Cognitive Worker Assistance, Image Recognition.
The original content of this case is from Oxford Initiative on AI×SDGs (2018-2022) which was a research project at the University of Oxford, directed by Prof. Luciano Floridi and Prof. Mariarosaria Taddeo. Its goal was to determine how artificial intelligence (AI) has been and can be used to support and advance the United Nations Sustainable Development Goals (SDGs). One of the deliverables was a curated, open, and fully searchable collection of international projects that use AI to support one or more of the SDGs. The content of that collection is now hosted here. We thank Prof. Floridi, Prof. Taddeo and their research team for the collaboration. Descriptions and functionalities have been extended to adapt the original content to the AI for SDGs Think Tank Observatory.
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