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Robot Fish Tracking Control using an Optical Flow Object-detecting Algorithm

Kyoo Jae Shin

发表年份
2016
引用次数
13

摘要

This paper realizes control of the motion of a swimming robot fish in order to implement an underwater robot fish aquarium. And it implements positional control of a two-axis trajectory path of the robot fish in the aquarium. The performance of the robot was verified though certified field tests. It provided excellent performance in driving force, durability, and water resistance in experimental results. It can control robot motion, that is, it recognizes an object by using an optical flow object-detecting algorithm, which uses a video camera rather than image-detecting sensors inside the robot fish. It is possible to find the robot’s position and control the motion of the robot fish using a radio frequency (RF) modem controlled via personal computer. This paper proposes realization of robot fish motion-tracking control using the optical flow object-detecting algorithm. It was verified via performance tests of lead-lag action control of robot fish in the aquarium.

关键词

Computer scienceRobotComputer visionArtificial intelligenceMotion controlOptical flowRobot controlMobile robotImage (mathematics)

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