Hokkaido University · 농업·생명과학
노구치 노부루 교수의 연구실은 농업 현장에서의 자율주행 농업 로봇 기술 개발에 초점을 맞추고 있습니다. RTK-GPS, FOG, IMU 등 정밀 센서 융합 기반의 실시간 위치 보정 및 경로 안내 시스템을 개발하여 농지 내 정밀 운행을 실현하고 있으며, 특히 소형 농업 로봇의 자동 주행, 경작, 식재, 살포 등 전반적인 농업 작업에 적용 가능한 기술을 연구하고 있습니다. 또한 산악 지형의 과수원 등 복잡한 환경에서도 효율적인 작업 스케줄링과 자동 보충 기반의 운영 체계도 함께 개발하고 있습니다.
표시된 성과는 수집된 데이터 기준으로 산출되며, 일부 차이가 있을 수 있습니다.
The objective of the study was to develop a field robot in agricultural operation environment.The navigation sensor consisted of an RTK-GPS and an inertial measurement unit (IMU). Thesensor fusion algorithm was capable of identifying FOG bias and compensating location error inreal-time for providing sufficient navigation information in support of accurate robot guidance inthe field. The field tests of a field robot have been conducted in Sapporo, Japan. Tillage,planting, cultivating and splaying
This study developed a field robot for an agricultural operating environment. Thenavigation sensor consisted of an RTK-GPS, a fiber optic gyroscope (FOG), and an inertialmeasurement unit (IMU). A sensor fusion algorithm was used to identify FOG bias andcompensate for location error in real-time, thus providing sufficient navigation information tosupport accurate robot guidance in the field. The guidance system could guide the agriculturalrobot automatically to follow either straight or curve pat
With the intensive application of techniques in global positioning, machine vision, image processing, sensor integration, and computing-based algorithms, vehicle automation is one of the most pragmatic branches of precision agriculture, and has evolved from a concept to be in existence worldwide. This paper addresses the application of robot vehicles in agriculture using new technologies.
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