Autonomous robotics (2024)

Focus on mobile autonomous robots

The term "autonomous robot" refers to robots capable of operating and performing tasks independently, without direct human intervention. They can move around in a more or less vast environment, at the heart of work areas and congested universes.

These robots use numerous on-board sensors (such as cameras, lidars, distance sensors, etc.) to collect data on their environment, then use this information to analyze the situation and make decisions.

They use a Artificial Intelligence called SLAM (Simultaneous Localisation And Mapping in English). This enables them to locate themselves, avoid obstacles (objects or people) that may not have been mapped during the study phase, and optimize their routes.

Thanks to their 360° scanners, these robots compare their mapping with the environment in real time. In the event of a positioning error, they can automatically correct their trajectory.

If the infrastructure evolves, the robots can be easily reprogrammed.

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What are the differences between an AMR and an AGV?

The difference between an AMR (Autonomous Mobile Robot) and an AGV (Automatic Guided Vehicle) lies mainly in their level of autonomy and navigation capabilities.

AGVs have well-defined trajectories and are guided by reference points on the ground. Conversely, AMRs navigate in total autonomy and adapt to the environment mapped upstream.

Autonomous robotics (1)

Autonomous robotics (2024)

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