Enabling Humans to Plan Inspection Paths Using a Virtual Reality Interface
This addresses the need for specialized knowledge in inspection planning by allowing non-experts to perform the task, though it is incremental as it builds on existing VR and automation methods.
The paper tackled the problem of enabling non-expert humans to plan robot inspection paths by using a virtual reality interface, finding that users without experience could generate paths with 66-81% of the quality of a state-of-the-art automated algorithm.
In this work, we investigate whether humans can manually generate high-quality robot paths for optical inspections. Typically, automated algorithms are used to solve the inspection planning problem. The use of automated algorithms implies that specialized knowledge from users is needed to set up the algorithm. We aim to replace this need for specialized experience, by entrusting a non-expert human user with the planning task. We augment this user with intuitive visualizations and interactions in virtual reality. To investigate if humans can generate high-quality inspection paths, we perform a user study in which users from different experience categories, generate inspection paths with the proposed virtual reality interface. From our study, it can be concluded that users without experience can generate high-quality inspection paths: The median inspection quality of user generated paths ranged between 66-81\% of the quality of a state-of-the-art automated algorithm on various inspection planning scenarios. We noticed however, a sizable variation in the performance of users, which is a result of some typical user behaviors. These behaviors are discussed, and possible solutions are provided.