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.
  
Sensor selection is a complex topic and is addressed in detail on these pages:
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[[Electrical and Controls:Sensor selection]] is a complex topic and is addressed in detail on these pages:
  
 
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Revision as of 20:33, 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.

Electrical and Controls:Sensor selection is a complex topic and is addressed in detail on these pages:


Example Obstacle Detection System


List of Commonly Used Sensors

Infrared (IR) Distance Sensor

Ultrasonic Distance Sensor

[[Contact Switch]]

1D Lidar

2D Lidar

3D Lidar

[[Camera]]

[[Depth Camera]]