What makes Semantic Robots unique, even from a global perspective, is its holistic approach to robot research.
The research fundamentally consists of three focus areas: Robotics, which deals with how robots perceive the environment and act within it, Intelligence, which deals with how robots make sense of their environment, and Interaction, which deals with how robots interact with each other and with human beings.
There are numerous research teams working within Robotics, Intelligence or Interaction, but Semantic Robots is one of a small number of projects which combines all three in its research. This ensures an interesting palette of projects, which link to each other in different ways and produce unparalleled opportunities and, it transpires, amazing results.
The aim of Semantic Robots is to create robots which understand context, can handle changes and which seemingly react to events intuitively.
Human beings have an unparalleled capacity to understand a context and how everything relates to each other, and to perform analyses of consequences entirely naturally which then lead to sensible action based on the situation. Getting robots to understand their surroundings and be able to change their behaviour based on the events they encounter, that’s where the really major challenge lies. To succeed, a first step is to link together the three research areas of Robotics, Intelligence and Interaction, which the Semantic Robots project is currently almost alone in doing.
Semantic Robots was set up and run for the initial years by Professor Dimiter Driankov. Nowadays he takes more of a back seat in the project and does not participate on a daily basis.