Design of desertification afforestation robot

Ankang Wu; Jiequan Ye; Wanting Xiao; Wenxiang Tan; Jiaxing Hou; Ying Wang; Ningxia Yin

doi:10.1117/12.3034984

11 July 2024 Design of desertification afforestation robot

Ankang Wu, Jiequan Ye, Wanting Xiao, Wenxiang Tan, Jiaxing Hou, Ying Wang, Ningxia Yin

Proceedings Volume 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024); 132102R (2024) https://doi.org/10.1117/12.3034984
Event: Third International Symposium on Computer Applications and Information Systems (ISCAIS 2023), 2024, Wuhan, China

Abstract

In order to further improve China's forest coverage, develop ecological culture, cope with adverse weather conditions, mechanized afforestation has become the only way to achieve China's ecological civilization. This study uses the concept of small and medium-sized robots to design an intelligent tree planting robot based on Robot Operating System (ROS), which is suitable for complex terrain such as sand and stone wasteland and abandoned mines. The robot has the function of independent mapping, path planning and navigation, and can automatically complete the tree planting work in the two-dimensional plane. The overall structure of this robot consists of three parts: walking mechanism, seedling storage mechanism, and actuating mechanism. It is mainly used for ecological restoration of barren land. It has a high degree of functional integration and operation automation, and realizes the planting of arbor ecological restoration forest seedlings (such as Hongsenhuai) under the "man machine" collaborative mode.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Ankang Wu, Jiequan Ye, Wanting Xiao, Wenxiang Tan, Jiaxing Hou, Ying Wang, and Ningxia Yin "Design of desertification afforestation robot", Proc. SPIE 13210, Third International Symposium on Computer Applications and Information Systems (ISCAIS 2024), 132102R (11 July 2024); https://doi.org/10.1117/12.3034984

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