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Abstract. Future homes will contain Mobile Service Robots (MSR) with diverse functionality. MSRs act in close proximity to humans and have the physical capabilities to cause serious harm to their environment. Furthermore, they have sensors that gather large amounts of data, which might contain sensitive information. A mobile service robot's physical capabilities are controlled by networked computers susceptible to faults and intrusions. The proximity to humans and the possibility to physically interact with them makes it critical to think about the security issues of MSRs. In this work, we investigate possible attacks on mobile service robots. We survey adversary motivations to attack MSRs, analyse threat vectors and list different available defence mechanisms against attacks on MSRs.

Abstract. Robotic software development frameworks lack a possibility to present, validate and generate qualitative complex human robot interactions and robot developers are mostly left with unclear informal project specifications. The development of a human-robot interaction is a complex task and involves different experts, for example, the need for human-robot interaction (HRI) specialists, who know about the psychological impact of the robot's movements during the interaction in order to design the best possible user experience. In this paper, we present a new project that aims to provide exactly this. Focusing on the interaction flow and movements of a robot for human-robot interactions we aim to provide a set of modelling languages for human-robot interaction which serves as a common, more formal, discussion point between the different stakeholders. This is a new project and the main topics of this publication are the scenario description, the analysis of the different stakeholders, our experience as robot application developers for our partner, as well as the future work we plan to achieve.

Abstract:An ageing population with increased social care needs has provided recent impetus for research into assisted living technologies, as the need for different approaches to providing supportive environments for senior citizens becomes paramount. Ambient intelligence (AmI) systems are already contributing to this endeavour. A key feature of future AmI systems will be the ability to identify causes and explanations for changes to the environment, in order to react appropriately. We identify some of the challenges that arise in this respect, and argue that an iterative and distributed approach to explanation generation is required, interleaved with directed data gathering. We further argue that this can be realised by developing and combining state-of-the art techniques in automated distributed reasoning, activity recognition, robotics, and knowledge-based control.