Application of Path Planning and Tracking Control Technology in Mower Robots

Path planning and tracking is the most basic technology for mowing robots, among which the performance of algorithms has a great impact on their intelligence and efficiency. Based on the research of relevant references on mower robots, it mainly focuses on complete coverage path planning, path tracking control, and obstacle avoidance path planning. In complete coverage path planning, three methods were introduced, including simple complete coverage planning, optimal complete coverage planning, and hybrid complete coverage planning. In the path tracking control section, the control methods are divided into three types based on whether the control method depends on the robot model and the type of model, namely model free control method, kinematic model-based control method, and dynamic model-based control method. In obstacle avoidance path planning, we introduce the environment detection device and obstacle avoidance planning algorithm. Then the relevant research papers are analyzed in classification, comparing the research and validation methods adopted by the researchers in the form of charts. Finally, we pointed out the limitations of path planning technology in the application of mower robots. Meanwhile, future development trends are predicted.

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Publication Details

Journal
Agronomy
Published
2024-10-23
DOI
https://doi.org/10.3390/agronomy14112473
Citations
11
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
2.74
Controls
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article

Application of Path Planning and Tracking Control Technology in Mower Robots

S. Liu, Hongjie Liu, Jianping Li, Pengfei Wang et al.
11 citations
Agronomy
Robotic Path Planning Algorithms
2.74
article

Application of Path Planning and Tracking Control Technology in Mower Robots

S. Liu, Hongjie Liu, Jianping Li, Pengfei Wang, Xu Wang, Lixing Liu, Jing-Wei ZOU, Xin Yang
article en
11 citations

Abstract

Path planning and tracking is the most basic technology for mowing robots, among which the performance of algorithms has a great impact on their intelligence and efficiency. Based on the research of relevant references on mower robots, it mainly focuses on complete coverage path planning, path tracking control, and obstacle avoidance path planning. In complete coverage path planning, three methods were introduced, including simple complete coverage planning, optimal complete coverage planning, and hybrid complete coverage planning. In the path tracking control section, the control methods are divided into three types based on whether the control method depends on the robot model and the type of model, namely model free control method, kinematic model-based control method, and dynamic model-based control method. In obstacle avoidance path planning, we introduce the environment detection device and obstacle avoidance planning algorithm. Then the relevant research papers are analyzed in classification, comparing the research and validation methods adopted by the researchers in the form of charts. Finally, we pointed out the limitations of path planning technology in the application of mower robots. Meanwhile, future development trends are predicted.

AgronomyVol. 14(11)
Hebei Agricultural University (CN)
Sustainable cities and communities
Openalex Percentile: Top 8%
Robotic Path Planning Algorithms
2.74
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