The Proceedings of JSME annual Conference on Robotics and Mechatronics (Robomec)
Online ISSN : 2424-3124
2021
Session ID : 1P2-A01
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Stranding Detection of the Small Robot for Paddy Fields Using Extended Kalman Filter
*Kentaro KAMEYAMADaichi MITTA
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Abstract

In this paper, the authors propose a method to detect collision of the robot in paddy fields to avoid the stranding of small robot in shallow water. The proposed method is to model the acceleration of the robot by the differential equation, including the unknown collision, and estimate the time and amplitude of the collision. The extended Kalman filter is used for estimation. Two types of models in which the unknown collision is modeled by the acceleration and velocity are discussed. As the result, we understand that the time of the collision can be estimated from the time of the estimated value of the velocity-dependent collision term becomes maximum values. Furthermore, the result shows that we can decide the robot becomes stranding based on the amplitude of the estimate of the velocity-dependent collision term because the estimated value becomes large when the height of obstacle becomes large.

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© 2021 The Japan Society of Mechanical Engineers
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