Abstract
In the quest for a simple, efficient, and cost-effective method for autonomous robot navigation, it is crucial to develop a reliable obstacle avoidance system. This project explores how obstacles affect navigation and the time required for the robot to manoeuvre around them. An obstacle avoidance method that relies solely on the LIDAR as the primary sensor is proposed, which is both cheap to manufacture and easy to install. TurtleBot3 is used for experimentation, as it is easy to work with and allows for quick adjustments to the algorithm. The approach involves an optimized algorithm designed to navigate various obstacle scenarios effectively as well as multiple points considered to be target positions. By leveraging LIDAR data for obstacle detection, the algorithm addresses diverse obstacle situations. Experimental results demonstrate the efficiency of the method in navigating through different barrier scenarios and different coordinates.
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
