Researches from the University Pablo de Olavide have designed an artificial intelligence system that is able to provide machines with synthetic feelings which makes it possible to add new functionalities and take them into account when analyzing their activities.
The solution to a problem
• The system of artificial feelings makes it possible to add new functionalities to the machines and take them into account when they carry out their activities. Artificial feelings would noticeably improve the applications of the machines and would also provide them with a greater autonomy as well as enable them to interact with humans.
• In this way, robots or any other kind of machines could anticipate human feelings and would even be able to have their own feelings. And so, a robot could, for example, experience hungry when the battery levels are low, or happiness when it has performed successfully its tasks. It would also be possible for them to anticipate human feelings which would make it possible to adapt their actions to produce positive feelings in the people who interact with a given machine.
Innovative aspects and competitive advantages.
• This developed system is based on the combination of a dynamic model represented by a single layer structure and fuzzy logic. This technique makes it possible to shape complex systems and non-linear relationships which facilitates the static and dynamic analyses. This system evolves until it reaches a stable state that determines the energy and the sense of the artificial feeling.
• This system not only allows robots to emulate feelings, but also to anticipate human feelings and, consequently, adapt themselves to those feelings.
Companies that might be interested.
• Companies involved in ICT and telecommunications.
• Companies devoted to robotics.
Stage of development.
Available to the customer.
The results are published in the Applied Soft Computing magazine.
Jose L. Salmeron
University Pablo de Olavide, Ctra. de Utrera, km 1, 41013 Seville, Spain