Fostering Critical Thinking and Practical Skills Development Through Hands-on Projects in Mechatronics, Robotics, and Machine Learning: A Focus on Two Case Studies

Abstract

Abstract Hands-on projects focused on real-world challenges play a pivotal role in engineering education, fostering critical thinking and problem-solving skills. This paper showcases two mechatronics, robotics, and machine learning projects that bridge the gap between theory and practice, equipping students with practical experience for future industry roles. The first project centers around a machine learning-based pipe inspection robot designed to navigate small-diameter, lengthy tubes. By utilizing image processing and machine learning, the compact robot captures high-quality images using a phone-mounted setup, enabling effective quality assessments within a 6-inch diameter. The second project, the Terrain Titan, offers versatility for applications like search and rescue and environmental monitoring. It incorporates a robust communication system for real-time data exchange using nRF24L01 modules, along with a sophisticated locomotion system capable of traversing diverse terrains. The addition of a manipulative arm, guided by an MPU6050 sensor for balance, enhances the robot’s capability for complex tasks. Detailed development information, including CAD models part lists, programming code, is provided for both projects, facilitating replication and adaptation in educational settings. The projects enhanced students’ problem-solving skills through the development of technical competence, collaborative problem-solving, and adaptability. These findings demonstrate the effectiveness of hands-on projects in engineering education for fostering critical thinking and problem-solving skills.