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ROS-Based Evaluation of SLAM Algorithms and Autonomous Navigation for a Mecanum Wheeled Robot

Publication Type : Conference Proceedings

Publisher : Springer Nature Singapore

Source : Lecture Notes in Electrical Engineering

Url : https://doi.org/10.1007/978-981-99-4634-1_2

Campus : Coimbatore

School : School of Engineering

Department : Mechanical Engineering

Year : 2023

Abstract : Robot navigation is one of the most important aspects of robotics. A map of the environment and path planning based on the obstacle avoidance and optimal path algorithm are required for any robot to successfully navigate in a environment. This study investigates GMapping and Cartographer SLAM approaches and analyzes the results based on map accuracy, perception, 3D mapping, and localization. Autonomous navigation based on ROS core system is also tested for a mecanum wheel robot with respect to the performances of suitable SLAM navigated through an environment with static and dynamic obstacles.

Cite this Research Publication : Pranav Vikirtan Dhayanithi, Thangamuthu Mohanraj, ROS-Based Evaluation of SLAM Algorithms and Autonomous Navigation for a Mecanum Wheeled Robot, International Conference on Robotics, Control, Automation and Artificial Intelligence, Lecture Notes in Electrical Engineering, Springer Nature Singapore, 2023, https://doi.org/10.1007/978-981-99-4634-1_2

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