Despite the advances made in artificial intelligence, software agents, androbotics, there is little we see today that we can truly call a fullyautonomous system. We conjecture that the main inhibitor for advancing autonomyis lack of trust. Trusted autonomy is the scientific and engineering field toestablish the foundations and ground work for developing trusted autonomoussystems (robotics and software agents) that can be used in our daily life, andcan be integrated with humans seamlessly, naturally and efficiently. In this paper, we review this literature to reveal opportunities forresearchers and practitioners to work on topics that can create a leap forwardin advancing the field of trusted autonomy. We focus the paper on the `trust'component as the uniting technology between humans and machines. Our inquiryinto this topic revolves around three sub-topics: (1) reviewing and positioningthe trust modelling literature for the purpose of trusted autonomy; (2)reviewing a critical subset of sensor technologies that allow a machine tosense human states; and (3) distilling some critical questions for advancingthe field of trusted autonomy. The inquiry is augmented with conceptual modelsthat we propose along the way by recompiling and reshaping the literature intoforms that enables trusted autonomous systems to become a reality. The paperoffers a vision for a Trusted Cyborg Swarm, an extension of our previousCognitive Cyber Symbiosis concept, whereby humans and machines meld together ina harmonious, seamless, and coordinated manner.
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