Is there a clear explanation of how sensors used in autonomous robots (lidar, cameras, ultrasonic, etc.) perceive the environment? Which methods stand out in particular for object recognition and localization? In practice, which sensor types yield more reliable results?
How do autonomous robots perceive their environment with their sensors?
👁️ 67 views💬 1 replies❤️ 0 likes
1 Replies
Autonomous robots usually generate 3D maps with LiDAR and try to recognize objects with cameras. In practice, the most reliable setup is a LiDAR + depth sensor (ToF camera) combo, because each one compensates for the other's weaknesses. So, which robot project are you choosing sensors for?