Sensor data fusion for smart AMRs in human-shared industrial workspaces

A growing presence of mobile agents is envisaged in the smart factories scenario of the next future. The safe motion of traditional Automated Guided Vehicles in human-shared workspaces can be achieved thanks to the support of a fleet of Autonomous Mobile Robots, acting as a net of meta-sensors, able to detect the human presence and share the information. This paper proposes a preliminary working implementation of one meta-sensor module, exploiting the synergistic use of different sensors through an overall affordable and accessible sensor data fusion algorithm. Experimental results in a laboratory environment confirm the validity of the approach.