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Difference between revisions of "Obstacle Detection"
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| − | Obstacle detection is the use of [[:Category:Sensors|sensors]] and [[:Category:Software|software]] to identify obstacles around the robot. Obstacle detection plays a critical role in preventing collisions, | + | Obstacle detection is the use of [[:Category:Sensors|sensors]] and [[:Category:Software|software]] to identify obstacles around the robot. Obstacle detection plays a critical role in preventing collisions, [[mapping/SLAM]], and generating information used by [[navigation and path planning]] algorithms. |
Simple application: a robot reads output from a front-mounted [[Infrared Distance Sensor|IR]] or [[Ultrasonic Distance Sensor|ultrasonic]] distance sensor to detect obstacles in front of itself and uses this information to stop before a collision happens. | Simple application: a robot reads output from a front-mounted [[Infrared Distance Sensor|IR]] or [[Ultrasonic Distance Sensor|ultrasonic]] distance sensor to detect obstacles in front of itself and uses this information to stop before a collision happens. | ||
| − | Complex application: a robot uses a [[Lidar#3D Lidar|3D lidar]] to scan its surroundings and passes the generated point cloud to a | + | Complex application: a robot uses a [[Lidar#3D Lidar|3D lidar]] to scan its surroundings and passes the generated point cloud to a [[SLAM algorithm]] to update a map of its environment. |
[[Electrical and Controls:Sensor_Selection|Sensor selection]] is a complex topic and depends on many factors and considerations.<br /> | [[Electrical and Controls:Sensor_Selection|Sensor selection]] is a complex topic and depends on many factors and considerations.<br /> | ||
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[[Ultrasonic Distance Sensor]] | [[Ultrasonic Distance Sensor]] | ||
| − | + | [[Contact Switch]] | |
[[Lidar#1D Lidar|1D Lidar]] | [[Lidar#1D Lidar|1D Lidar]] | ||
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[[Lidar#3D Lidar|3D Lidar]] | [[Lidar#3D Lidar|3D Lidar]] | ||
| − | + | [[Camera]] | |
| − | + | [[Depth Camera]] | |
[[Category:Sensors]] | [[Category:Sensors]] | ||
[[Category:Autonomous]] | [[Category:Autonomous]] | ||
Revision as of 20:48, 24 September 2020
Obstacle detection is the use of sensors and software to identify obstacles around the robot. Obstacle detection plays a critical role in preventing collisions, mapping/SLAM, and generating information used by navigation and path planning algorithms.
Simple application: a robot reads output from a front-mounted IR or ultrasonic distance sensor to detect obstacles in front of itself and uses this information to stop before a collision happens.
Complex application: a robot uses a 3D lidar to scan its surroundings and passes the generated point cloud to a SLAM algorithm to update a map of its environment.
Sensor selection is a complex topic and depends on many factors and considerations.