Assembly process optimization



The demonstrator develops a multi-purpose robotic platform for indoor use intended for autonomous transportation of the factory's material, goods, or tools. AI algorithms will deliver autonomous and cooperative behaviour even in complex environments, and AI trajectory planning will manage distributed intelligent traffic control ensuring fast and reliable delivery within the factory. The mobile robot prototype will reach the destination autonomously and safely; the only necessary input is the desired location. The robot updates its knowledge about the environment and traffic intensity by self-learning and by knowledge sharing among robots of the fleet. On its way to the destination, it is possible to reveal environment changes, detect and classify the obstacle and report this occurrence to other robots and supervising centres.

Beyond state-of-the-art developments and impacts

Current mobile robotic agents for industrial material transportation are fulfilling reliable navigation through the area, following the predefined trajectory, and avoiding the obstacles by stopping the movement. The demonstrator of an autonomous mobile robotic agent is capable (besides the essential functions of current mobile robots) of autonomous path planning, considering the long-term average occupancy of pathways, existing routes of other fleet robots, and temporary obstacles of various types (temporary obstacles, human worker gatherings, etc.). It will also detect and classify the type of unexpected obstacle, autonomously replan its way to the destination, share this information among fleet robots, and report it to the surveillance centre.