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Ȩ Ȩ > ¿¬±¸¹®Çå > Çмú´ëȸ ÇÁ·Î½Ãµù > Çѱ¹Á¤º¸Åë½ÅÇÐȸ Çмú´ëȸ > 2019³â Ãß°èÇмú´ëȸ

2019³â Ãß°èÇмú´ëȸ

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ÇѱÛÁ¦¸ñ(Korean Title) A Study of a NON-ROS Efficient Obstacle Avoidance Algorithm for TurtleBot 2 Based Embedded System
¿µ¹®Á¦¸ñ(English Title) A Study of a NON-ROS Efficient Obstacle Avoidance Algorithm for TurtleBot 2 Based Embedded System
ÀúÀÚ(Author) Ingabiore Onesphore   Minyoung Kim   Jong-wook Jang  
¿ø¹®¼ö·Ïó(Citation) VOL 23 NO. 02 PP. 0006 ~ 0009 (2019. 10)
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(Korean Abstract)
¿µ¹®³»¿ë
(English Abstract)
In recent years, the Robot Operating System (ROS) has been employed as the most popular method to control robots. TurtleBot 2 is one of the robots that can be controlled using ROS. However, ROS consumes lots of computational resources and needs to be running on a high-cost computer with high power in terms of storage and speed. In order to overcome these issues, using an embedded system will result in efficiency and financial benefits. In this paper, we present the study of an efficient obstacle avoidance algorithm running on an embedded system that is not based on ROS. The algorithm consists of collecting data from the sensor and helping TurtleBot 2 to make a decision such as a stop, move forward, move backward and turn clockwise or counterclockwise. The proposed algorithm is being implemented using Windows 10 IoT core running on Raspberry pi and the RPLIDAR A2 sensor is used for an obstacle sensing. Universal Windows Platform (UWP) app and C# programming language are being used to implement the algorithm.
Å°¿öµå(Keyword) Windows 10 IoT core   UWP   Raspberry pi   RPLIDAR A2  
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