The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2022
Session ID : 1A1-C01
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Evaluation of collision avoidance performance using image recognition in mowing robot
*Kyohei KANBAYASHIYuta SHIRAIMizuki SHINGUYoshihisa UCHIDA
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Abstract

In the agricultural field in recent years, unmanned mowing robots that can perform mowing work safely and efficiently are attracting attention as a countermeasure against aging and population decline. Therefore, in this research, we developed a mowing robot that avoids collisions with obstacles by image recognition. Collision avoidance is performed by identifying the type of recognized obstacle, estimating the distance to the target, and combining it with the automatic control of the robot. As a result of experimentally evaluating the collision avoidance performance of the robot according to the type and distance of the obstacle, it was confirmed that the collision avoidance technology with the obstacle by the image recognition developed this time is useful.

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© 2022 The Japan Society of Mechanical Engineers
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