In this paper we propose a robotic system for flower removal and pollination with the deep learning-based 3D perception module. The robotic system consists of a collaborative robot equipped with an RGB-D camera used in the detection pipeline. A semi-automated 3D based image annotation method (A3IA) is developed for the purpose of automatically generating the training data. The efficiency of the detection model trained on automatically annotated data is compared to that of the model trained on synthetic data. Experimental validation of the proposed methods is conducted and robustness and precision of both detection and positioning are reported.
Robotic Strawberry Flower Treatment Based on Deep-Learning Vision
Springer Proceedings in Advanced Robotics
International Workshop on Human-Friendly Robotics ; 2022 ; Delft, The Netherlands September 22, 2022 - September 23, 2022
02.01.2023
16 pages
Aufsatz/Kapitel (Buch)
Elektronische Ressource
Englisch
Vision-based robotic convoy driving
British Library Online Contents | 1995
|NTIS | 1986
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