Abstract
To improve the positioning accuracy of the robotic system, a novel positioning method based on vision and tactile sensors is proposed for robotic manipulation which consists of two stages: the vision-based positioning stage and the tactile-based positioning stage. The tactile sensor used in the paper and the proposed methodology are introduced in detail. Furthermore, experiments have been performed in the real platform to verify the effectiveness of the proposed method. The results show that the positioning accuracy has been largely improved with the proposed method.
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Acknowledgement
This research was sponsored by the Major Project of the New Generation of Artificial Intelligence (No. 2018AAA0102900) and the China Postdoctoral Science Foundation Grant (No. 2019TQ0170).
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Zhao, D., Sun, F. (2021). An Accurate Positioning Method for Robotic Manipulation Based on Vision and Tactile Sensors. In: Sun, F., Liu, H., Fang, B. (eds) Cognitive Systems and Signal Processing. ICCSIP 2020. Communications in Computer and Information Science, vol 1397. Springer, Singapore. https://doi.org/10.1007/978-981-16-2336-3_59
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DOI: https://doi.org/10.1007/978-981-16-2336-3_59
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