REM – active perception for Reasoning in a Embodied robotic Mind

REM – active perception for Reasoning in a Embodied robotic Mind

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The REM project’s aim is to instil a major breakthrough in social robotics by enhancing the robot multi-sensory active perception as well as the action reasoning response. Current social robots are still incapable of deploying enough coherent behaviour according to the human expectations diminishing the interaction considerably. This project seeks to enhance the semantics reasoning at symbolic level to one more connected to the robot real perception, improving the level of reciprocity and awareness and yielding to better human-robot interaction (HRI). The societal impact pursued in this research is to get closer to the socially capable robot for health care, assistive and social applications (e.g., assist elder population), thus, enhancing people’s quality of life and aiding robots to entry inside the end-user market.

There are three main lines of research:

  • Multisensory attention: real time bottom-up attention of visual and tactile cues
  • Aware robots: intentional state modelling though inference
  • Non-verbal communication: visual and haptics message communication

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