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Identification Localization and Gathering of Pepper Based on Depth Camera and Inverse Kinematics

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan www.asabe.org

Citation:  Applied Engineering in Agriculture. 40(3): 285-291. (doi: 10.13031/aea.15821) @2024
Authors:   Tianhong Liu, Zechen Zhang, Sixing Liu, Hong Miao, Yan Chai, Shuang Li
Keywords:   Robot gathering, Robotic arm inverse kinematics, Target detection, Trajectory planning

Highlights

The spatial coordinate position of peppers is obtained by YOLOv5 algorithm fused with localization technique.

The inverse kinematics for gathering arm is solved by disassembly and Euler-angle method.

Pentadic polynomials are applied to realize the motion planning and control of robotic arm.

The proposed method achieves an average gathering success rate about 60%.

Abstract. To avoid mutation and interference with intelligent gathering, an autonomous gathering method is proposed in this paper. An improved YOLOv5 target detection algorithm is used to recognize peppers. The kinematics solution of the robotic arm is realized by using the disassembly method and the Euler-angle method. Simulating and modeling robotic arms is conducted by the Robotic Toolbox in Matlab. The robotic arm's spatial motion planning is controlled by the pentadic polynomial interpolation method. The feasibility of the inverse solution and planning is verified in Matlab. Different conditions‘ gathering experiments are conducted on the gathering platform. Experiments show that this method is smooth and interference-free, with a high gathering success rate, realizing the accurate gathering of single, small fruits in complex environments.

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