Socially assistive robots (SARs) offer great promise for improving outcomes in paediatric rehabilitation. However, the design of software and interactive capabilities for SARs must be carefully considered in the context of their intended clinical use. While previous work has explored specific roles and functionalities to support paediatric rehabilitation, few have considered the design of such capabilities in the context of ongoing clinical deployment. In this article, we present a two-phase in situ design process for SARs in health care, emphasising stakeholder engagement and on-site development. We explore this in the context of developing the humanoid social robot NAO as a socially assistive rehabilitation aid for children with cerebral palsy. We present and evaluate our design process, outcomes achieved, and preliminary results from ongoing clinical testing with 9 patients and 5 therapists over 14 sessions. We argue that our in situ design methodology has been central to the rapid and successful deployment of our system.

Purpose: Socially assistive robots are emerging as a method of supporting the rehabilitation of children with physical disabilities. To date there has been no in-depth analysis of parent and child perspectives regarding the use of socially assistive robots for pediatric rehabilitation. The purpose of this study was to capture the experiences of parents and children who participated in a rehabilitation session with a socially assistive rehabilitation robot. Methods: An interpretivist qualitative design was used. Semi-structured interviews of five parent-child pairs were undertaken to examine their experiences during a rehabilitation session with the NAO robot. Interviews were analyzed using inductive thematic analysis. Results: Five themes were identified: 1) affective influence, 2) independence, 3) preference for human interaction, 4) accessibility of therapy and 5) familiarity with technology. Conclusion: Based on parent and child perspectives, the NAO robot is an acceptable complement to rehabilitation therapies. Children and parents perceived the NAO robot to have therapeutic value through its potential to enhance engagement, promote child independence during rehabilitation exercises and its potential support a rehabilitation program when a human therapist is not accessible.

The transformation of cities into smarter and more efficient environments relies on proactive and timely detection and maintenance of city-wide infrastructure, including roadside infrastructure such as road signs and the cleaning of illegally dumped rubbish. Currently, these maintenance tasks rely predominantly on citizen reports or on-site checks by council staff. However, this approach has been shown to be time-consuming and highly costly, resulting in significant delays that negatively impact communities. This paper presents AIoT-CitySense, an AI and IoT-driven city-scale sensing framework, developed and piloted in collaboration with a local government in Australia. AIoT-CitySense has been designed to address the unique requirements of roadside infrastructure maintenance within the local government municipality. A tailored solution of AIoT-CitySense has been deployed on existing waste service trucks that cover a road network of approximately 100 kms in the municipality. Our analysis shows that proactive detection for roadside infrastructure maintenance using our solution reached an impressive 85%, surpassing the timeframes associated with manual reporting processes. AIoT-CitySense can potentially transform various domains, such as efficient detection of potholes and precise line marking for pedestrians. This paper exemplifies the power of leveraging city-wide data using AI and IoT technologies to drive tangible changes and improve the quality of city life.

Socially assistive robots show great potential for boosting therapeutic outcomes in children undergoing intensive rehabilitation. However, the introduction of an additional interactive presence also imposes new demands on the therapist. In this preliminary study we explore the time costs and issues associated with the inclusion of a semi-autonomous assistive robot in paediatric rehabilitation sessions.