Advanced Harvesting System by using a Combine Robot

Iida, Michihisa; Suguri, Masahiko; Uchida, Ryo; Ishibashi, M.; Kurita, Hiroki; Cho, Wonjae; Masuda, R.; Ohdoi, Katsuaki

doi:10.3182/20130327-3-jp-3017.00012

Cited by 16 publications

(9 citation statements)

References 3 publications

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“… Visitors who are not on-site can participate in the show at anytime and anywhere. Monitoring of the system's security is another function that the machine provides [ 14 – 16 ]. …”

Section: Design and Implementation Of The Guide Robotmentioning

confidence: 99%

“…(5) Visitors who are not on-site can participate in the show at anytime and anywhere. Monitoring of the system's security is another function that the machine provides [14][15][16]. the robot, prevents the robot from tipping forward when braking to avoid obstacles at higher speeds, and effectively solves the phenomenon of drifting and skidding or overhanging when travelling or turning on the smoother ground of the exhibition.…”

Section: Design and Implementation Of The Guide Robotmentioning

confidence: 99%

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Innovative Design of a Cloud Tour Guide Robot for Smart Cities under the Principle of System Innovation Design

Salim

Zakaria

et al. 2022

Computational Intelligence and Neuroscience

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In light of the ongoing occurrence of epidemics, the general populace frequently makes the decision to curtail their nomadic lifestyle in order to protect both their health and their safety. This has resulted in a number of issues, the most notable of which are the drop in the people’s living happiness index and the poor business that the tourism industry has been experiencing as a result. Therefore, the idea of “cloud tourism” is undoubtedly the first candidate for the tourism industry, and in order to meet the requirements of cloud tourism, it is necessary to have an entirely new system to serve this, of which the scenic guide robot is an important part. At the same time, the quickening development of 5G technology offers solutions that may be put into practice for the multifurther IoT’s expansion in smart cities. People will be able to experience the real outdoors without having to leave their homes, which will improve the people’s well-being and alleviate the chilly status quo in the tourism industry. This is the plan, and it will be accomplished through the use of innovative guide robots that will make the experience more convenient and reliable.

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“… Visitors who are not on-site can participate in the show at anytime and anywhere. Monitoring of the system's security is another function that the machine provides [ 14 – 16 ]. …”

Section: Design and Implementation Of The Guide Robotmentioning

confidence: 99%

Section: Design and Implementation Of The Guide Robotmentioning

confidence: 99%

Innovative Design of a Cloud Tour Guide Robot for Smart Cities under the Principle of System Innovation Design

Salim

Zakaria

et al. 2022

Computational Intelligence and Neuroscience

View full text Add to dashboard Cite

show abstract

“…Due to this situation, the primary sector, and more specifically, the agricultural sector, must undergo a transformation process that allows it to double productivity to meet the growing demand. In addition, the loss of farmers combined with their average age, makes clear the need for efficient increases in the manifold agricultural tasks [2][3][4][5].…”

Section: Introductionmentioning

confidence: 99%

A Design Criterion Based on Shear Energy Consumption for Robotic Harvesting Tools

et al. 2020

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Smart and precise agriculture has increasingly been developed in the last decade, and with that, the idea of optimizing the tools commonly used in this field. One way to improve these devices, particularly cutting tools conceived for harvesting purposes, is to measure the shear energy consumption required for a particular plant. The aim of this research is to establish both a design criterion for cutting grippers and a quantifiable way to evaluate and classify a harvesting tool for a specific crop. This design criterion could help to minimize energy consumption in future harvesting robots, making them more energy-efficient.

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“…For the control strategies, the first type is the controller based on geometric and kinematic model, which is by far the most popular type due to its simplicity and stability. The pure pursuit algorithm is the most widely used in this type (Iida et al , 2013; Qiao et al , 2020a). The key behind the pure tracking algorithm is setting the look-ahead distance, which is related to the working speed and tracking path curvature (Samuel et al , 2016; Wang et al , 2020).…”

Section: Introductionmentioning

confidence: 99%

Adaptive neural network-based path tracking control for autonomous combine harvester with input saturation

Zhang

Wang

Liu³

2021

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Purpose To reduce the effect of parameter uncertainties and input saturation on path tracking control for autonomous combine harvester, a path tracking controller is proposed, which integrates an adaptive neural network estimator and a saturation-aided system. Design/methodology/approach First, to analyze and compensate the influence of external factors, the vehicle model is established combining a dynamic model and a kinematic model. Meanwhile, to make the model simple, a comprehensive error is used, weighting heading error and position error simultaneously. Second, an adaptive neural network estimator is presented to calculate uncertain parameters which eventually improve the dynamic model. Then, the path tracking controller based on the improved dynamic model is designed by using the backstepping method, and its stability is proved by the Lyapunov theorem. Third, to mitigate round-trip operation of the actuator due to input saturation, a saturation-aided variable is presented during the control design process. Findings To verify the tracking accuracy and environmental adaptability of the proposed controller, numerical simulations are carried out under three different cases, and field experiments are performed in harvesting wheat and paddy. The experimental results demonstrate the tracking errors of the proposed controller that are reduced by more than 28% with contrast to the conventional controllers. Originality/value An adaptive neural network-based path tracking control is proposed, which considers both parameter uncertainties and input saturation. As far as we know, this is the first time a path tracking controller is specifically designed for the combine harvester with full consideration of working characteristics.

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Advanced Harvesting System by using a Combine Robot

Cited by 16 publications

References 3 publications

Innovative Design of a Cloud Tour Guide Robot for Smart Cities under the Principle of System Innovation Design

Innovative Design of a Cloud Tour Guide Robot for Smart Cities under the Principle of System Innovation Design

A Design Criterion Based on Shear Energy Consumption for Robotic Harvesting Tools

Adaptive neural network-based path tracking control for autonomous combine harvester with input saturation

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