Conference proceeding
Advancing Autonomous Robotics: Integrating Mecanum Wheels, LiDAR, and SLAM for Enhanced Mobility and Navigation Through Student Involvement
Volume 7: Engineering Education, Vol.7, V007T09A045
17 Nov 2024
Abstract
Abstract
This study unveils an advanced autonomous mobile robot (AMR) designed as a practical educational module for students, featuring Mecanum wheels, LiDAR, and integrated through a comprehensive SLAM algorithm, all within the framework of the Robot Operating System (ROS). The AMR’s use of Mecanum wheels affords it unparalleled agility and the capability to maneuver omnidirectionally in intricate settings. LiDAR technology enhances the robot’s ability to generate detailed spatial maps, crucial for real-time navigation and obstacle avoidance. Through experimental validation in a controlled laboratory environment, the AMR demonstrated superior navigational accuracy and adaptability to evolving conditions. This hands-on educational approach not only underlines the robot’s effectiveness in navigating real-world challenges but also positions it as an adaptable solution for future automation tasks, emphasizing the potential for its application across a broad spectrum of industrial and commercial fields.
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Details
- Title
- Advancing Autonomous Robotics: Integrating Mecanum Wheels, LiDAR, and SLAM for Enhanced Mobility and Navigation Through Student Involvement
- Creators
- Richard Y. Chiou - Drexel University, Engineering Leadership and Society/Engineering TechnologyNijanthan Vasudevan - Drexel UniversityArjuna Karthikeyan Senthilvel KavithaTzu-Liang (Bill) Tseng - The University of Texas at El Paso
- Publication Details
- Volume 7: Engineering Education, Vol.7, V007T09A045
- Conference
- ASME 2024 International Mechanical Engineering Congress and Exposition, Portland, Oregon, USA, Nov. 17 - 21, 2024
- Publisher
- American Society of Mechanical Engineers
- Resource Type
- Conference proceeding
- Language
- English
- Academic Unit
- Engineering Leadership and Society/Engineering Technology
- Scopus ID
- 2-s2.0-85216812562
- Other Identifier
- 991022053435904721