Hybrid-AI for safe autonomous systems in an open world

TNO develops hybrid AI capabilities for efficient task delegation, flexible and re-usable robotic capabilities, self-assessment in context, goal directed perception and autonomous physical interventions. This allows systems to self-optimize in highly dynamic environments, achieving lasting fitness and a higher degree of autonomy. Especially when the complexity of the environment increases, unmanned mobile systems generally need frequent operator interventions to operate effectively and safely in complex and unpredictable environments. The research of TNO increases system effectiveness while reducing the number of operator interventions.