Industrial Maintenance and Assembly is a very complex task involving both cognitive skills (procedural skills) and motor skills (fine motor control and bi-manual coordination skills). This paper presents a controlled multimodal training system, for transferring the motor and cognitive skills involved in these tasks. The new platform provides different multimodal aids and learning strategies that help and guide the users during their training process. One of the main features of this system is its flexibility to adapt itself to the task demands and to the users' preferences and needs supporting different configurations. To address bi-manual operations the platform offers different alternatives, one of them is a set-up composed of a haptic device to track the motion of the operator's dominant hand and simulate the physical interaction within the virtual environment, together with a marker-less motion capture system to track the motion of the other hand in real time.

This paper shows two developed digital systems as an example of intelligent garage and maintenance that targets the applicability of augmented reality and wearable devices technologies to the maintenance of bus fleets. Both solutions are designed to improve the maintenance process based on verification of tasks checklist. The main contribution of the paper focuses on the implementation of the prototypes in the company’s facilities in an operational environment with real users and address the difficulties inherent in the transfer of a technology to a real work environment, such as a mechanical workshop. The experiments have been conducted in real operation thanks to the involvement of the public transport operator DBUS, which operates public transport buses in the city of Donostia—San Sebastian (Spain). Two solutions have been developed and compared against the traditional process: one based on Tablet and another one based on Microsoft HoloLens. The results show objective metrics (Key Performance Indicators, KPI) as well as subjective metrics based on questionnaires comparing the two technological approaches against the traditional one based on manual work and paper.