Difference between revisions of "Obstacle Detection"
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− | Obstacle detection is the use of [[:Category:Sensors|sensors]] and software to identify obstacles around the robot. Obstacle detection plays a critical role in preventing collisions, <nowiki>[[mapping/SLAM]]</nowiki>, and generating information used by <nowiki>[[navigation and path planning]]</nowiki> algorithms. | + | 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, <nowiki>[[mapping/SLAM]]</nowiki>, and generating information used by <nowiki>[[navigation and path planning]]</nowiki> 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. | ||
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Complex application: a robot uses a [[Lidar#3D Lidar|3D lidar]] to scan its surroundings and passes the generated point cloud to a <nowiki>[[SLAM algorithm]]</nowiki> to update a map of its environment. | Complex application: a robot uses a [[Lidar#3D Lidar|3D lidar]] to scan its surroundings and passes the generated point cloud to a <nowiki>[[SLAM algorithm]]</nowiki> 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. | + | [[Electrical and Controls:Sensor_Selection|Sensor selection]] is a complex topic and depends on many factors and considerations.<br /> |
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==List of Commonly Used Sensors== | ==List of Commonly Used Sensors== |
Revision as of 20:45, 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.
List of Commonly Used Sensors
[[Contact Switch]]
[[Camera]]
[[Depth Camera]]