Path Planning Optimization and Motion Control of a Greenhouse Unmanned Ground Vehicle

Wang, Shubo; Dou, Wenhao; Li, Tongshu; Yu, Han; Zhang, Zichao; Chen, Jian

doi:10.1007/978-981-15-8155-7_424

Lecture Notes in Electrical Engineering

2021

DOI: 10.1007/978-981-15-8155-7_424

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Path Planning Optimization and Motion Control of a Greenhouse Unmanned Ground Vehicle

Shubo Wang

Wenhao Dou

Tongshu Li

et al.

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Cited by 3 publications

(1 citation statement)

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“…A suitable autonomous movement strategy, in addition to precisely controlling the robot in the desired direction, allows eliminating the effects of disturbances and factors that reduce the robot's accuracy in performing a certain operation. Different robot control approaches can be found in [8][9][10][11][12][13][14][15]. Specifically, in [16], an autonomous robot used modelbased control considering the vehicle's motion, including the effects of wheel sideslip, to calculate speed and steering commands.…”

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confidence: 99%

Computational Simulation of an Agricultural Robotic Rover for Weed Control and Fallen Fruit Collection—Algorithms for Image Detection and Recognition and Systems Control, Regulation, and Command

et al. 2022

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The continuous rise in the world’s population has increased the need for food, resulting in a rise of agricultural holdings to ensure the supply of these goods directly to the populations and indirectly to all processing industries in the food business. This situation has led agriculture to reinvent itself and introduce new technics and tools to ensure tighter control of the crops and increase yields in food production. However, the lack of labor coupled with the evolution of weeds resistant to herbicides created a crisis in agricultural food production. However, with the growing evolution in electronics, automation, and robotics, new paths are emerging to solve these problems. A robotic rover was designed to optimize the tasks of weed control and collection of fallen fruits of an orchard. In weed control, a localized spraying system is proposed, therefore reducing the amount of applied herbicides. With fruit collection, it is possible to direct fallen fruits for animal feeding and possible to reduce microbial activity on the next campaign crops, therefore avoiding damage. This study proposes the simulation of this robotic rover on robotic simulation software. It also proposes the replication of a similar environment of an orchard to generate an algorithm that controls the rover on the tasks of localized spraying and fallen fruit collection. Creating and testing these algorithms by using a robotic simulator speed up and ease the evaluation of different scenarios and hypotheses, with the added benefit of being able to test two tasks simultaneously. This method also allows greater freedom and creativity because there are no concerns about hardware damage. It should also be noted that development costs are very low.

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confidence: 99%

Computational Simulation of an Agricultural Robotic Rover for Weed Control and Fallen Fruit Collection—Algorithms for Image Detection and Recognition and Systems Control, Regulation, and Command

et al. 2022

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Robotics in greenhouses. Scoping review

Sánchez-Molina,

Rodríguez,

Moreno

et al. 2024

Computers and Electronics in Agriculture

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A Hybrid LiDAR-Based Mapping Framework for Efficient Path Planning of AGVs in a Massive Indoor Environment

Wen,

Song,

Liu

et al. 2024

IEEE Trans. Transp. Electrific.

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Path Planning Optimization and Motion Control of a Greenhouse Unmanned Ground Vehicle

Cited by 3 publications

References 8 publications

Computational Simulation of an Agricultural Robotic Rover for Weed Control and Fallen Fruit Collection—Algorithms for Image Detection and Recognition and Systems Control, Regulation, and Command

Computational Simulation of an Agricultural Robotic Rover for Weed Control and Fallen Fruit Collection—Algorithms for Image Detection and Recognition and Systems Control, Regulation, and Command

Robotics in greenhouses. Scoping review

A Hybrid LiDAR-Based Mapping Framework for Efficient Path Planning of AGVs in a Massive Indoor Environment

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