Mobile Robot Navigation: The CMU System
نویسندگان
چکیده
منابع مشابه
A New Method of Mobile Robot Navigation: Shortest Null Space
In this paper, a new method was proposed for the navigation of a mobile robot in an unknown dynamic environment. The robot could detect only a limited radius of its surrounding with its sensors and it went on the shortest null space (SNS) toward the goal. In the case of no obstacle, SNS was a direct path from the robot to goal; however, in the presence of obstacles, SNS was a space around the r...
متن کاملA New Method of Mobile Robot Navigation: Shortest Null Space
In this paper, a new method was proposed for the navigation of a mobile robot in an unknown dynamic environment. The robot could detect only a limited radius of its surrounding with its sensors and it went on the shortest null space (SNS) toward the goal. In the case of no obstacle, SNS was a direct path from the robot to goal; however, in the presence of obstacles, SNS was a space around the r...
متن کاملThe proposed Autonomous Mobile Robot Navigation System
-the aim of this work is to develop an algorithm which allows a mobile robot to navigate through static obstacles, and finding the path in order to reach a specified target. We propose an algorithm that provides the robot a trajectory to be followed to move from the initial position to the specified target. The robot trajectory is designed in a grid-map form of a known environment with static o...
متن کاملMobile Robot Navigation Error Handling Using an Extended Kalman Filter
Obviously navigation is one of the most complicated issues in mobile robots. Intelligent algorithms are often used for error handling in robot navigation. This Paper deals with the problem of Inertial Measurement Unit (IMU) error handling by using Extended Kalman Filter (EKF) as an Expert Algorithms. Our focus is put on the field of mobile robot navigation in the 2D environments. The main chall...
متن کاملMobile Robot Navigation Error Handling Using an Extended Kalman Filter
Obviously navigation is one of the most complicated issues in mobile robots. Intelligent algorithms are often used for error handling in robot navigation. This Paper deals with the problem of Inertial Measurement Unit (IMU) error handling by using Extended Kalman Filter (EKF) as an Expert Algorithms. Our focus is put on the field of mobile robot navigation in the 2D environments. The main chall...
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ژورنال
عنوان ژورنال: IEEE Expert
سال: 1987
ISSN: 0885-9000,2374-9407
DOI: 10.1109/mex.1987.5006533