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VISUAL CONTROL OF A ROBOTIC MANIPULATOR FOR TRACKING OF AN UNCOOPERATIVE PLATFORM
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- Author(s) / Creator(s)
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This work presents a methodology for the visual detection and robotic tracking of an uncooperative target. This article presents a closed-loop visual feedback-based control strategy combined with the Kalman filtering technique for autonomous tracking of the target object. The framework is based on the independent implementation of visual detection and tracking control loop to enhance the detection and tracking precision of the object. The overall hardware setup consists of low-cost off- the-shelf hardware for marker-based visual detection. Through the adopted approach, the performance of the developed tracker and control is evaluated.
Part of the Proceedings of the Canadian Society for Mechanical Engineering International Congress 2022.
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- Date created
- 2022-06-01
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- Subjects / Keywords
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- Type of Item
- Article (Published)