• Title/Summary/Keyword: Agriculture robot

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DEVELOPMENT OF AGRICULTURAL HYDRAULIC ROBOT(Part II) - Dynamic Characteristic of Hydraulic System

  • Mikio, Umeda;Michihisa, Iida;Kiyoshi, Namikawa
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1993.10a
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    • pp.830-839
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    • 1993
  • Agricultural hydraulic robot which was reported in Part Ⅰ had been developed . The robot satisfied performance to intend before development. For actual use, however, it have been necessary to reduce manipulator weigh and to simplify construction of hydraulic control valve. Then, working stress of manipulator link and pressure fluctuation of hydraulic circuit were measured. Step and frequency response tests were done subject to amplitude of reference voltage of 0.1 , 0.3 , 0.5 and 1.0v. and delivery pressure of 3.5 and 5.0MPa. Working stress were about 25% comparing with fatigue strength, Thus, mass of manipulator might be reduce to 30 %. In hydraulic control system, virtual natural frequency of 6.5Hz is produced from the combination of drain passage area shortage of servovalve. Further , because of passage area shortage , working pressure at both side of cylinder was acted on. This phenomenon prevent utilize effectively engine power. Then, control valve for new model was p oposed.

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BASIC MECHANISM OF ROBOT ADAPTED TO PHYSICAL PROPERTIES OF TOMATO PLANT

  • Kondo, N.;Monta, M.;Shibano, Y.;Mohri, K.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 1993.10a
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    • pp.840-849
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    • 1993
  • In this paper, it is reported that manipulator and hand-required for harvesting tomato were studied. At first, basic physical properties of tomato plant were investigated such as position of fruit, length of stems and leaves, width between ridges and son on . Secondly , basic mechanism of articulate manipulators with 5 to 7 degree of freedom were investigated by using evaluation indexes such as operational space, measure of manipulatability , posture diversity and so on. From the results, an articulate manipulator with 7 degrees of freedom was selected and the manipulator was manufactured as a trial according to the mechanism. Thirdly , physical properties about fruit and peduncle of tomato were also researched such as diameter, length , picking force and so on. Based on the properties , tomato harvesting hand with absorptive pad were also made as a trial. Finally, after the hand was attached to the manipulator, harvesting experiment was done in greenhouse . It was observed th t the robot could harvest satisfactorily , not only since the robot adapted to physical properties of tomato plant was manufactured but also since phyllotaxis of tomatoes was so methodical that all fruit clusters emerged in the same direction.

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HANDLING MECHANISM IN GRAFTING ROBOT

  • Kajikawa, T.;Nishiura, Y.
    • Proceedings of the Korean Society for Agricultural Machinery Conference
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    • 2000.11b
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    • pp.313-317
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    • 2000
  • In this research, a grafting robot with plug in method is used. Plug in method is a method that uses a tapered axis for scion and a tapered hole for stock as processing style of conjugation parts. In the case of handling a grafting seedling, gripping a stem is doing with simple mechanisms of devising to reduce damages to stems. For example, providing cushions between gripper and stem, and fitting a gripper to a stem. Both scions and stocks need cutting, but there is bigger influence for scions than stocks, so problems of cutting scions and special qualities of grippers are necessary to investigate.

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Object Recognition Technology using LiDAR Sensor for Obstacle Detection of Agricultural Autonomous Robot (LiDAR 센서 활용 객체 인식기술이 적용된 농업용 자율주행 이송 로봇 개발)

  • Kim, Jong-Sil;Ju, Yeong-Tae;Kim, Eung-Kon
    • The Journal of the Korea institute of electronic communication sciences
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    • v.16 no.3
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    • pp.565-570
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    • 2021
  • Agriculture in South Korea is losing productivity due to the lack of manpower as aging population increases. To overcome this, the agricultural robot market is growing rapidly, and research is being conducted on remote control and autonomous driving of agricultural robots. This work designs the appearance and structure of agricultural robots and implements the devices and control systems for driving. By utilizing and optimizing LiDAR sensors, we applied object recognition technology, which is an essential function for autonomous driving. This can reduce labor costs and improve productivity of transportation tasks that require the most labor in agriculture.

A Study on Trajectory Tracking of Field Robot using Adpative Control (적응제어 기법을 이용한 필드 로봇의 궤적 추종에 관한 연구)

  • 서우석;김승수;양순용;이병룡;안경관
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 1997.10a
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    • pp.496-499
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    • 1997
  • Field robot represented by excavator can be applied for various kinds of working in manufacturing, construction, agriculture etc. because of the flexibility of its multi-joint mechanism and the high power of hydraulic actuators. In general, the dynamics of field robot have strong coupling, various kinds of non-linearity, and time-varying parameters according to working conditions. Therefore, it is very difficult to describe the system well, and design controller systematically based on its model. This paper established the mathematical model of field robot driven by electro-hydraulic servomechanism and constructed the adaptive control system robust to external load variations. The proposed control system for the field robot was evaluated by the computer simulation and the performance results of trajectory tracking were compared with that of PID control system.

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Technical Trends of Robot Task Intelligence in Intelligent Logistics/Agriculture (지능형 물류/농업분야의 로봇작업지능 기술 동향)

  • Yu, W.P.;Lee, Y.C.;Kim, D.H.
    • Electronics and Telecommunications Trends
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    • v.36 no.2
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    • pp.22-31
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    • 2021
  • This report introduces a definition for robot task intelligence and explains the basis of the challenges associated with implementing robot task intelligence in real-world problems. Two fundamental elements of this intelligence, robot manipulation and navigation, are introduced herein. We describe the existing trends and industrial applications of the robot task intelligence in logistics and agricultural automation. Furthermore, as an underpinning technology for this intelligence, we review the existing three-dimensional position estimation techniques and summarize the difficulties associated with applying pure SLAM technology to real-world applications. Finally, we discuss the prospects of the robot task intelligence research and its potential for solving real-world problems.