Safety in the operation of Automated Guided Vehicles (AGVs) and Autonomous Mobile Robots (AMRs) in the industrial environment is crucial to ensure the protection of people and assets in the space where their tasks are carried out. These systems are rapidly expanding due to the multiple benefits they offer, but at the same time, the increase in their number and the complexity of their tasks generate new risks that must be properly managed.
ISO 3691-4 is an international standard that establishes preventive measures and technical specifications to ensure the safety of autonomous vehicles. This standard is essential for any AGV or AMR implementation project, as it provides a complete guide on how to design the vehicle and the installation, as well as the safety measures that must be implemented.
Artificial intelligence applied to localization systems (SLAM), motion planning (Path-Planning), and fleet management systems are also key tools in the safe operation of autonomous vehicles. These constantly evolving applications allow optimizing processes and ensuring the efficiency of autonomous vehicles, knowing the real-time position of each robot.
Safe implementation of AGV and AMR systems by Pilz
Pilz, as experts in safety, has developed a nine-step method for the safe implementation of these systems.
Improving safety through 3D sensors
One field whose development will allow for improved safety in this environment is safe sensor technology. Often, the devices attached to these machines to guide and avoid collisions work on a two-dimensional plane, leaving out of the detection range everything that is above a certain height. Safe sensors with 3D detection capability, such as the PSEN radar from Pilz, will be a major breakthrough in many of these applications.
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