The Innothon challenge is focused on the realization of an autonomous robotic platform, capable of moving around renewable plants to carry out data collection, inspections, and small maintenance activities. The solution must be autonomous in fulfilling the missions, pre-planned in a dedicated opensource software/dashboard where an operator can define the mission goals/constraints/path and other useful needs for the specific task. Moreover, it should be equipped with AI features to support basic data analytics. Acquired data/images collected must be automatically synchronized with a supervision software/dashboard at the end of the mission to produce a final report for each mission. The possibility of live streaming of the information would be a plus. The solution should include a manual override to take the control in case of emergency or specific need of the operator. The system will be 100% electrical, either stand-alone (e.g. wheels, tracks, legs) or leveraging on existing structures (e.g. rails, cables, fences, PV trackers, others,...). A solution able to be used as a multifunctional prototype that can be applied to more than one of the following use cases will be evaluated with an additional score.
This is a Reduction to Practice Challenge that requires written documentation, experimental proof-of-concept data, and prototype delivery for the purposes of evaluating the effectiveness of the solution.