Biblio

Trust is essential in designing autonomous and semiautonomous Robots and Autonomous Systems (RAS), because of the ``No trust, no use'' concept. RAS should provide high quality services, with four key properties that make them trustworthy: they must be (i) robust with regards to any system health related issues, (ii) safe for any matters in their surrounding environments, (iii) secure against any threats from cyber spaces, and (iv) trusted for human-machine interaction. This article thoroughly analyses the challenges in implementing the trustworthy RAS in respects of the four properties, and addresses the power of AI in improving the trustworthiness of RAS. While we focus on the benefits that AI brings to human, we should realize the potential risks that could be caused by AI. This article introduces for the first time the set of key aspects of human-centered AI for RAS, which can serve as a cornerstone for implementing trustworthy RAS by design in the future.

The Internet of Things (IoT) is continuously growing and is now reaching into the industrial environment through new services such as remote maintenance for machine tools. Industrial applications of IoT require an increased awareness of security at all times. It is not only necessary that the data is exchanged securely; also the design of the hardware of the devices themselves needs to be considered. Security has to be designed right from the start into the IoT devices rather than added on later. This paper lays the foundation for the creation of a modular safe remote monitoring and maintenance system for machine tools through IoT devices at the hardware level. This article introduces a fully modular secure data acquisition system design approach with greater versatility, ready to be used in modern IoT manufacturing environments or for safe upgrading of existing legacy machinery.