Summary Paper: Use Case on Building Collaborative Safe Autonomous Systems-A Robotdog for Guiding Visually Impaired People
This addresses safety and navigation challenges for visually impaired individuals in urban settings, but it appears incremental as it builds on existing collaborative and autonomous system concepts.
The paper tackles the problem of enabling a Robotdog to safely guide visually impaired people in complex environments like smart intersections by leveraging data sharing and collaboration with other autonomous systems, proposing a system architecture with a collaborative decision layer for collective decision-making.
This is a summary paper of a use case of a Robotdog dedicated to guide visually impaired people in complex environment like a smart intersection. In such scenarios, the Robotdog has to autonomously decide whether it is safe to cross the intersection or not in order to further guide the human. We leverage data sharing and collaboration between the Robotdog and other autonomous systems operating in the same environment. We propose a system architecture for autonomous systems through a separation of a collaborative decision layer, to enable collective decision making processes, where data about the environment, relevant to the Robotdog decision, together with evidences for trustworthiness about other systems and the environment are shared.