Automatic Guidance With a Laser Scanner for a Robot Tractor in an Orchard

Ryo,; Tsubota,; Noboru,; Noguchi,; Akira,; Mizushima,

doi:10.13031/2013.17854

Cited by 14 publications

(2 citation statements)

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“…The final RTs can move on all predicted patterns with high safety indexes [6]. The VeBots laboratory same as many other laboratories in the field of ICT, has researched ARs such as path planning [7], vision intelligence [8], on-road and on-field navigation [9], navigation combination with different sensors [10,11], sensor fusion [12], autonomous tractor [13][14][15], turning functions [16,17], steering control [18], multi-robots [19], various platforms [20][21][22][23], and intelligent systems [6,[23][24][25][26][27][28][29][30][31][32][33][34][35][36][37][38][39].…”

Section: Introductionmentioning

confidence: 99%

Autonomous Robotic System for Pumpkin Harvesting

et al. 2022

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The present study focused on the development, optimization, and performance evaluation of a harvesting robot for heavyweight agricultural products. The main objective of developing this system is to improve the harvesting process of the mentioned crops. The pumpkin was selected as a heavyweight target crop for this study. The main components of the robot consist of mobile platforms (the main robot tractor and a parallel robot tractor), a manipulation system and its end-effector, and an integrated control unit. The development procedure was divided into four stages: stage I (designed system using Solidworks), stage II (installation of the developed system on a temporary platform), stage III (developed system on an RT-1 (Yanmar EG453)), and stage IV (developed system on an RT-2 (Yanmar YT5113)). Various indicators related to the performance of the robot were evaluated. The accuracy of 5.8 and 4.78 mm in x and y directions and repeatability of 5.11 mm were observed. The harvesting success rate of 87~92%, and damage rate of 5% resulted in the evaluation of the final version. The average cycle time was 35.1 s, 42.6 s, and 43.2 s for stages II, III, and IV, respectively. The performance evaluations showed that the system’s indicators are good enough to harvest big-sized and heavy-weighted crops. Development of the unique and unified system, including a mobile platform, a manipulation system, an end-effector, and an integrated algorithm, completed the targeted harvesting process appropriately. The system can increase the speed and improve the harvesting process because it can work all day long, has a precise robotic manipulation and end-effector, and a programmable controlling system that can work autonomously.

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Section: Introductionmentioning

confidence: 99%

Autonomous Robotic System for Pumpkin Harvesting

et al. 2022

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“…Preliminary results are shown, highlighting the carried out in several areas. These include tractor guidance, autonomous control of vehicles for the operations of crop whether it be laser-based [1], or GPS-based [2], [3], [4].…”

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confidence: 99%

Autonomous Farming: Modeling and Control of Agricultural Machinery in a Unified Framework

Eaton

Katupitiya

Siew

et al. 2008

2008 15th International Conference on Mechatronics and Machine Vision in Practice

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Currently, there are significant challenges faced machinery, if the farm land layout and the crop plantation can by the farming industry, not least of which are a reduction be structured. Primarily the aim is to achieve a desirable crop in the available labour workforce, and a more 'corporate' plantation pattern with respect to a global coordinate frame. style of farming. Such factors demand an increase in farming Determining the crop plantation patter is not a trivial task. It efficiency and productivity. This paper looks forward to the D es the crop itstiontour ma the task.tIc not too distant future, where the realisation of autonomous involves the land geometry, its contour map, the geometric farming will aid in the farming communities surviving as well as parameters of the available machinery and the crop being competing in the global market. In this work, the autonomous planted. In addition, a number of agronomical constraints farm is seen as a complex system-of-systems, where there is will play a role. Nevertheless, this task can be carried out offnecessarily a seamless integration of requirements, bringing line before crop plantation is started. It is obvious that, to entogether the areas of robotics for autonomous farming, and sure before crop layout, seed. It be cat, t Precision Agriculture (PA), which deals with issues of agron-sure a structured crop layout, seeding must be carried out as omy. In essence, agricultural robotics uses on-farm sensing and specified to ensure precision crop plantation. The complexity control to actuate autonomous farm machinery with the aim of the operation and the sub-inch precision required, rules of satisfying agronomy-based objectives. We initially describe out the human operators. Especially in broad acre farming, a system-of-systems architecture, or unified framework, where a vital building block is the existence of two data sets used operating massive machaiery generally rated around 200 to as links, or communication, between the various sub-systems. 400 horsepower, to maintain sub-inch seeding accuracy over These data sets include a Precision Farming Data Set (PFDS) often vast distances is impractical. Such accuracy essentially formed off-line before crop cultivation, containing spatially pre-requires autonomous agricultural vehicles. cise navigation data for any and all autonomous machinery, and At the research level, there are a number of fronts proa Precision Agriculture Data Set (PADS), which is a continually . .evolving entity consisting more of agronomy data in relation to gressing. Work in Precision Agriculture is, among other the crop. Secondly, research undertaken in autonomous farm things, constantly evolving to provide better and more inmachinery is highlighted, where we present a foundation for formation about the agronomic requirements of the crop the autonomous and robust control of articulated farm vehicles in order to produce maximum yield. In the development for real-time trajectory tracking in the presence of uncertain of precision autonomous machin...

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A robot platform for unmanned weeding in a paddy field using sensor fusion

Kim

Hong

et al. 2012

2012 IEEE International Conference on Automation Science and Engineering (CASE)

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Automatic Guidance With a Laser Scanner for a Robot Tractor in an Orchard

Cited by 14 publications

References 0 publications

Autonomous Robotic System for Pumpkin Harvesting

Autonomous Robotic System for Pumpkin Harvesting

Autonomous Farming: Modeling and Control of Agricultural Machinery in a Unified Framework

A robot platform for unmanned weeding in a paddy field using sensor fusion

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