Difference between revisions of "Obstacle Detection"

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Obstacle detection is the use of 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.
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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, 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 <nowiki>[[SLAM algorithm]]</nowiki> to update a map of its environment.
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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 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:
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[[Sensor Selection|Sensor selection]] is a complex topic and depends on many factors and considerations.<br />
 
 
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==Example Obstacle Detection System==
 
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==List of Commonly Used Sensors==
 
==List of Commonly Used Sensors==
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[[Ultrasonic Distance Sensor]]
 
[[Ultrasonic Distance Sensor]]
  
<nowiki>[[Contact Switch]]</nowiki>
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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]]
  
<nowiki>[[Camera]]</nowiki>
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Camera
  
<nowiki>[[Depth Camera]]</nowiki>
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Depth Camera
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[[Category:Sensors]]
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[[Category:Autonomous]]

Latest revision as of 16:21, 9 April 2021

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

Infrared (IR) Distance Sensor

Ultrasonic Distance Sensor

Contact Switch

1D Lidar

2D Lidar

3D Lidar

Camera

Depth Camera