Precise Mapping with SLAM Algorithms
GPS signals are non-functional in indoor warehouse areas. So, how does a robot know where it is and where to go? The answer: The perfect harmony of Lidar and SLAM technology.
Finding Direction in the Dark: What is SLAM?
SLAM (Simultaneous Localization and Mapping) solves the most fundamental problem of autonomous robots: "I am in an environment whose map I do not know; I must both create the map and know where I am on this map."
The algorithms we develop as Deptron engineers enable the robot to scan its surroundings as soon as it enters an unknown environment and create a dynamic map in its memory. Thanks to this, our robots start moving autonomously within minutes even in a warehouse they have never seen before.
Lidar: The Robot's Eyes
To perform this mapping, the robot needs to "see" its surroundings. This is where Lidar (Light Detection and Ranging) sensors come into play.
- Laser Pulses: Lidar sends thousands of laser pulses per second and measures the time it takes for this light to hit objects and return.
- Point Cloud: These measurements combine to create a detailed 3D "point cloud" map of the environment.
- Dynamic Detection: Our Lidar sensors instantly detect moving people or other forklifts, triggering the collision avoidance system.
Infrastructure Powered by ROS2
As Deptron Robotics, we build our systems on ROS2 (Robot Operating System 2) at industrial standards. Thanks to the real-time data processing capability provided by ROS2:
- The robot's position is updated with centimeter precision.
- Instant decisions are made without data loss or latency.
- Multiple robots can use the same map synchronously with fleet management systems.
"Thanks to our SLAM technology, Deptron robots are ready to work out of the box without requiring extra infrastructure investment (magnetic strips or QR codes)."
Providing 100% autonomy even in points where GPS cannot reach, this technology increases efficiency in your warehouse operations while eliminating risks caused by human errors.