In order to solve the problem that the standard extended Kalman filter (EKF) algorithm has
large errors in Unmanned Aerial Vehicle (UAV) multi-sensor fusion localization, this paper …

In this study, we compared the accuracy of three location estimation methods of an
autonomous driving robot for underground mines: an inertial measurement unit with encoder …

In this study, a small autonomous driving robot was developed for underground mines using
the Light Detection and Ranging (LiDAR) sensor. The developed robot measures the …

Flexible start-up is the future trend of production automation. To realize intelligent and
flexible operations, industrial robot must position the target rapidly and accurately …

The estimation of robot pose in an indoor and unknown environment is a challenging
problem. Traditional methods using wheel odometry and inertial measurement unit (IMU) …

초록본 연구에서는 라이다 센서를 활용한 지하광산용 소형 자율주행 로봇을 개발하였다.
개발된 로봇은 라이다 센서를 사용하여 좌, 우 벽면까지의 거리를 측정하고, 지하광산 갱도의 …

Multi-robot systems are preferred in complex missions such as, unknown and unstructured
area exploration, due to the scalability, robustness, efficiency and cost considerations …