The growing pervasiveness of robotic and embodied artificial intelligence systems in daily life and within cyber-physical environments highlights a complex web of challenges at the intersection of robotic safety, human-to-robot trust, and cybersecurity. This article explores these challenges by emphasising the crucial role of security in establishing and maintaining trust between humans and robots, which is integral to successfully adopting and operating these systems in human environments. Safety considerations include mitigating the risks of physical harm and environmental damage due to robotic malfunctions or cyberattacks, particularly in autonomous robots requiring high built-in safety measures. From a cybersecurity perspective, these systems face unique challenges due to their complex, interconnected software and hardware components that necessitate robust protection against data breaches to ensure secure data communication. Additionally, the dynamic interaction of these systems with the physical environment adds a layer of complexity, which makes the safety, security, and reliability of these interactions a vital component of the overall security strategy. This article reviews these areas within the cyber-physical systems paradigm by focusing on engineering fail-safe mechanisms, the importance of trust and ethical responsibility in human-robot interactions, and the need for resilient cybersecurity measures. At this nexus, a table of crossover challenges illustrates the intricacy of integrating safety, trust, and security in robotic systems. This article introduces “secure robotics” as a new paradigm to address these collective challenges with a novel model to provide a structured methodology for evaluating and enhancing robotic system performance that symbolises the convergence of theoretical constructs with empirical analysis. By defining secure robotics, this article establishes a framework for advancing robotics in the cyber-physical era in alignment with current technological trends while anticipating future developments. This framework positions secure robotics as a key contributor to the evolution of cyber-physical systems.

Robotic embodiments of artificial agents seem to reinstate a body-mind dualism as consequence of their technical implementation, but could this supposition be a misconception? The authors present their artistic, scientific and engineering work on a robotic installation, the Articulated Head, and its perception-action control system, the Thinking Head Attention Model and Behavioral System (THAMBS). The authors propose that agency emerges from the interplay of the robot's behavior and the environment and that, in the system's interaction with humans, it is to the same degree attributed to the robot as it is grounded in the robot's actions: Agency cannot be instilled; it needs to be evoked.

The human perception of cognitive robots as social depends on many factors, including those that do not necessarily pertain to a robot’s cognitive functioning. Experience Design offers a useful framework for evaluating when participants interact with robots as products or tools and when they regard them as social actors. This study describes a between-participants experiment conducted at a science museum, where visitors were invited to play a game of noughts and crosses with a Baxter robot. The goal is to foster meaningful interactions that promote engagement between the human and robot in a museum context. Using an Experience Design framework, we tested the robot in three different conditions to better understand which factors contribute to the perception of robots as social. The experiment also outlines best practices for conducting human-robot interaction research in museum exhibitions. Results from the study indicate that perceived social presence can be evaluated using a combination of HRI and Experience Design methods that measure co-presence and co-experience.