Leader/Follower Behaviour Using the SIFT Algorithm for Object Recognition
DEFENCE RESEARCH AND DEVELOPMENT SUFFIELD (ALBERTA)
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This paper presents an application of vision-based object recognition to create a leaderfollower behaviour in mobile robots. A system is developed which makes use of the Scale Invariant Feature Transform SIFT algorithm to recognize a leader robot or human. The follower robot then uses PID control to track the leaders movements while maintaining a fixed following distance.
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