Difference between revisions of "Obstacle Detection"
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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]] is a complex topic and is addressed in detail on these pages: | + | [[Electrical and Controls:Sensor_Selection|Sensor selection]] is a complex topic and is addressed in detail on these pages: |
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Revision as of 20:34, 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 is addressed in detail on these pages:
Example Obstacle Detection System
List of Commonly Used Sensors
[[Contact Switch]]
[[Camera]]
[[Depth Camera]]