AIoT and VR-Based Technology for Robots Control in Critical Safety Environments: Challenges and Opportunities

This study explores the integration of Artificial In-telligence of Things (AIoT) and Virtual Reality (VR) in research dedicated to operations within critical safety environments. The discussion commences by examining intentional interventions that may impact the interaction between remote operators and objects through the use of AIoT and VR devices as control interfaces. Following this, a detailed exposition of the tools used in AIoT-VR interfaces is presented, with a specific focus on applications in safety-critical scenarios. Subsequently, we delve into various heuristic design, implementation, and reporting methods employed in AIoT-VR-based research. This includes considerations such as participant selection, activity and task settings, and the careful selection and evaluation of experimental parameters. The primary aim of this paper is to provide guidance for enhancing the quality of AIoT-VR research in safety-critical operations. This is achieved through aligning with existing research backgrounds via comprehensive discussions and examples. The paper encourages researchers to adopt flexible approaches in applying context-specific designs and explorations in AIoT-VR studies for safety-critical operations. The anticipated impact of this review includes the practical advancement of AIoT-VR research within safety-critical studies, while simultaneously reinforcing the importance of user-centric considerations in engineering projects.