Motion Control of Autonomous Wheeled Robots in Precision Agriculture
https://doi.org/10.17285/0869-7035.0083
Abstract
Precision agriculture makes use of high-accuracy navigation, attitude determination, and obstacle detection methods to save resources and to obtain better results. The collected robot position and attitude, and obstacle location data can be effectively employed to synthesize control algorithms for autonomous agricultural machines. These algorithms are applied for coverage path planning, route planning, motion stabilization along the specified paths, obstacle avoidance, and ensuring guaranteed behavior. These tasks are considered in the paper.
About the Authors
T. A. Tormagov
Skolkovo Institute of Science and Technology; Moscow Institute of Physics and Technology
Russian Federation
Russian Federation
Moscow
А. А. Generalov
Institute of Control Sciences
Russian Federation
Russian Federation
Moscow
M. Yu. Shavin
Skolkovo Institute of Science and Technology
Russian Federation
Russian Federation
L. B. Rapoport
Moscow Institute of Physics and Technology; Institute of Control Sciences
Russian Federation
Russian Federation
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Review
For citations:
Tormagov T.A., Generalov А.А., Shavin M.Yu., Rapoport L.B. Motion Control of Autonomous Wheeled Robots in Precision Agriculture. Gyroscopy and Navigation. 2022;30(1):39-60. (In Russ.) https://doi.org/10.17285/0869-7035.0083
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