Fabio Giuseppe Riu
Multiagent System for smart meta-sensor framework.
Rel. Marina Indri, Pangcheng David Cen Cheng. Politecnico di Torino, Corso di laurea magistrale in Ingegneria Informatica (Computer Engineering), 2024
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Abstract
Multiagent system for smart meta-sensor framework In Industry 4.0 the AMRs (Autonomous Mobile Robots) have a key role. The AMRs need to share the same spaces with humans but only some of the AMRs can detect and recognize them through specific sensor data. Some types of sensors perform better than others in this context, but they might increase the cost of those robots. Robots equipped with only LIDAR (Light Detection And Ranging) perform well for indoor SLAM but still have limitations regarding obstacles that are below the height of the LIDAR. However, if they are also equipped with an RGB-D sensor, a more detailed view enriches the robot's perception.
ROS (Robot Operating System) represents the state-of-the-art framework for the coordination and management of robots
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