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Intelligent fruit picking robot and implementation method thereof

A technology for picking robots and robot bases, applied to picking machines, manipulators, harvesters, etc., can solve the problems of increased complexity of robot hand posture control, incoherent work, and increased space occupation, and achieve rapid response processing and action execution. Guarantee the effect of reliability and stability, efficiency and quality improvement

Pending Publication Date: 2019-12-27
SHANDONG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] The robot hand designed for this device is a multi-arm articulated robot hand, which is composed of six mechanical arms connected in series and coordinated with the actuator, and the main degree of freedom that each robotic arm can achieve is the pitching motion in the vertical plane, resulting in A large number of repetitive motion forms and a huge increase in the complexity of the robot's attitude control. At the same time, multiple robotic arms correspond to multiple drives, and the setting of each level of drive will increase the cost and space occupied by the picking robot. It is relatively unfavorable to promote the utilization of products and meet the changing working environment;
[0007] (2) The setting of the fruit recovery device is unreasonable
[0008] After the robot finishes picking the fruit, the executive device directly releases the fruit, and the recovery hose installed under the actuator collects the fruit. The destructive impact of fruit tree branches and leaves, and the relative position relationship between the hose and the actuator during the working process of the robot cannot be guaranteed, which makes the actual implementation of the scheme more difficult;
[0009] (3) The control method has a large delay
[0010] The information collected by the image recognition module must first be converted into a wireless signal, sent to the computer for remote processing, and then the signal is sent to the robot's control system after obtaining the target position information, resulting in increased operation delay and incoherent work, and the signal The wireless transmission is greatly affected by the environment, which is more likely to cause the failure of the picking machine to stop working, which is not conducive to the improvement of picking efficiency

Method used

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  • Intelligent fruit picking robot and implementation method thereof
  • Intelligent fruit picking robot and implementation method thereof
  • Intelligent fruit picking robot and implementation method thereof

Examples

Experimental program
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Effect test

Embodiment 1

[0051] In this embodiment, an apple is taken as an example to describe in detail the intelligent apple picking robot proposed in this embodiment.

[0052] figure 1 It is the front view of the smart apple picking robot involved in this embodiment. Such as figure 1 As shown, the smart apple picking robot includes a mechanical system and a control system; among them:

[0053] The mechanical system includes a robot base 1, two crawler walking mechanisms installed symmetrically on both sides of the base, a scissor lift mechanism installed on the base, a four-degree-of-freedom robot mechanism on the scissor lift mechanism, and The picking actuator at the front end of the robot mechanism and the image acquisition mechanism installed on the base.

[0054] Such as figure 1 As shown, the crawler walking mechanism includes two crawler wheels 2 installed on the front and rear of the side of the robot base, a walking crawler 1 wound on the two crawler wheels, and a crawler wheel installed on the...

Embodiment 2

[0070] This embodiment provides a method for implementing an intelligent fruit picking robot. The method includes the following steps:

[0071] The camera of the image acquisition agency collects the complete fruit tree image and transmits it to the camera image recognition module;

[0072] The camera image recognition module uses the Python machine vision algorithm to process the obtained fruit tree image, calculates the proportion of red and yellow in each part of the image, determines whether the apple is mature and its precise location information, and transmits it to the main control circuit module via a UART serial port;

[0073] The main control circuit module obtains the precise position information of the mature apple obtained after the image processing of the camera image recognition module, and according to the positioning information, adopts the robot attitude control algorithm, and outputs the PMW signal to control the servo motor of the lifting mechanism and the servo mo...

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Abstract

The invention discloses an intelligent fruit picking robot and an implementation method thereof. The intelligent fruit picking robot is good in universality and high in automation degree and efficiency. The intelligent fruit picking robot comprises a robot base. two crawler traveling mechanisms symmetrically mounted on the two sides of the base, a fork lifting mechanism mounted on the base, a robot hand mechanism located on the fork lifting mechanism, a picking execution mechanism mounted at the front end of the robot hand mechanism and an image acquisition mechanism mounted on the base.

Description

Technical field [0001] The invention relates to the technical field of agricultural machinery, in particular to an intelligent fruit picking robot used for fruit picking and an implementation method thereof. Background technique [0002] The research on the mechanized harvesting technology of fruit trees in agriculture has a history of many years. The earliest harvesting methods are mainly mechanical shaking and pneumatic shaking. The disadvantages are that the fruit is easy to damage and the harvesting efficiency is low, especially the selective harvesting is not possible. The degree of chemistry is low. With the changes in fruit tree cultivation methods, people began to use ladders, lifting platforms and other equipment to assist in picking fruits, but still need to hire a large number of picking workers, high labor intensity, low efficiency, and labor-intensive characteristics still exist. Therefore, using the relevant knowledge of mechatronics to carry out the overall design...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): B25J5/00B25J9/10B25J9/16B25J15/00B25J15/08B25J18/00B25J19/04A01D46/30
CPCA01D46/30B25J5/005B25J9/10B25J9/161B25J15/00B25J15/08B25J18/00B25J19/04
Inventor 张乐高琦李婷玉汤旭阳
Owner SHANDONG UNIV
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