Project Overview
Athletic training faces limitations in providing consistent, measurable feedback for skill development, particularly in golf where subtle biomechanical variations dramatically impact performance. Our cyber-physical golf training system revolutionizes sports instruction through an integrated robotic golf mat with multi-axis surface adjustment capabilities, advanced computer vision for real-time motion capture and human skeleton tracking, and machine learning models for swing analysis and personalized coaching. The platform combines dynamic surface actuation that simulates diverse course conditions, 360-degree motion capture systems for comprehensive biomechanical assessment, and deep learning neural networks that analyze movement patterns to provide immediate, data-driven feedback and technique optimization recommendations.
The system transforms professional golf instruction centers, equipment testing facilities, and athletic training programs by delivering quantifiable performance improvements, accelerated skill development, and immersive training experiences featuring physics-accurate simulations of world-renowned golf courses. Applications extend beyond golf to other sports training, rehabilitation programs, and STEM education platforms, advancing human-robot interaction research, motion capture algorithms, and AI-driven sports science methodologies. The broader research impact includes developing next-generation athletic training platforms that combine physical robotics with artificial intelligence for enhanced performance outcomes. Our team seeks industry partnerships for sports technology development, equipment manufacturers for testing applications, and research institutions for expanding applications to other athletic disciplines, leveraging expertise in robotic mechanism design, computer vision, motion analysis, and machine learning for sports applications.