• Comment:

    ROSSINI provides several advances beyond the state of the art, developing a Safety Aware Control Architecture for robot cognitive perception and optimal task planning and execution. 

    In order to enable actual perception, ROSSINI leverages on a data processing technique for real-time image recognition, to obtain a semantic scene map that adapts to dynamic working conditions. 

    ROSSINI adopts also algorithms for motion prediction of humans and moving entities, and embeds their stochastic information in the dynamic semantic scene map. This allows the robot to further refine its planning in order to maximize performance while preserving safety. 

    In this way, ROSSINI introduces a novel perception and control architecture blending safety and performance oriented planning/control that wants to reach the goal of optimising the trade-off between human operator safety and manufacturing productivity.