Grabbing path control method of sphere-like fruit picking mechanical arm

A path control and robotic arm technology, which is applied to picking machines, manipulators, program-controlled manipulators, etc., to avoid grasping failures, avoid fruit damage, and improve the success rate.

Pending Publication Date: 2022-02-11
DALIAN UNIV OF TECH
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the above-mentioned problems that the reverse solution of the picking manipulator has no solution and the jaws at the end of the planned path collide with the fruit, the advantages of spherical fruits that can be grasped in various postures can be used. In the inverse solution of the arm, the genetic algorithm is used to solve the posture of the end of the mechanical arm that can reach the fruit position, and the position of the picking robot is moved for multiple times to improve the success rate of the inverse solution of the mechanical arm, thereby improving the success rate of picking; The method of adding interpolation points in the picking direction of the picking robot enables the picking robot to reach the fruit position along the direction of the end effector opening towards the fruit when picking, so as to improve the picking success rate of the picking robot and reduce the fruit damage rate

Method used

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  • Grabbing path control method of sphere-like fruit picking mechanical arm
  • Grabbing path control method of sphere-like fruit picking mechanical arm
  • Grabbing path control method of sphere-like fruit picking mechanical arm

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Embodiment Construction

[0042] The present invention will be described in detail below in conjunction with the accompanying drawings.

[0043] 1. The flow chart of fruit picking by applying the grasping control method of a spherical fruit picking robot is as follows: figure 1 shown. After the picking robot arrives at the picking location, it senses the environment. The depth camera collects the environmental information and uses the deep learning algorithm to identify and locate the fruit. Number and count the recognized fruits. If the fruit has been grasped and calculated less than 2 times, the fruit position information is converted from the camera coordinate system to the end coordinate system of the robot arm, and according to the fruit center point position and end coordinates The relative position of the origin of the system is used to obtain the attitude of the end of the manipulator, and the vector from the origin of the end coordinate system of the manipulator to the center point of the fru...

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Abstract

The invention relates to a grabbing path control method of a sphere-like fruit picking mechanical arm, which solves the problems that the inverse solution of the picking mechanical arm has no solution and a clamping jaw at the tail end of a planned path collides with fruits, and utilizes the advantage that the sphere-like fruits can be grabbed in various postures. When the inverse solution of the mechanical arm cannot be solved by the solved posture of the tail end of the mechanical arm, a genetic algorithm is used for solving the posture of the tail end of the mechanical arm capable of reaching the fruit position, multiple times of solving are conducted by moving the position of the picking robot, the mechanical arm inverse solution solving success rate is increased, and then the picking success rate is increased; a method for adding interpolation points in the picking direction of the picking robot is provided, so that the picking robot reaches the position of the fruit along the direction of the opening of the end effector towards the fruit during grabbing, the picking success rate of the picking robot is improved, and the fruit damage rate is reduced.

Description

technical field [0001] The invention relates to the technical field of robot application, and relates to a grasping path control method of a quasi-spherical fruit picking mechanical arm. Background technique [0002] With the increase in the scale of plant greenhouses and plant factories and the increase in labor costs, the intelligentization of fruit and vegetable picking and harvesting has become an urgent demand for agriculture in various countries. With technological breakthroughs in the fields of computer and image processing, fruit and vegetable picking robots have developed rapidly. For example, the apple picking robot developed by the University of Washington in the United States, the strawberry picking robot developed by the Norwegian University of Life Sciences, and the sweet pepper picking robot developed by Ben Ha Gurion University of the Negev in Israel and used in commercial greenhouses. Picking robot technology is becoming more and more mature and gradually d...

Claims

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Application Information

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IPC IPC(8): B25J9/16A01D46/30
CPCB25J9/1664A01D46/30
Inventor 王东董永祥连捷王伟
Owner DALIAN UNIV OF TECH
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