Young Shin Kim

Papers

Total Citations

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About

Young Shin Kim’s research focuses on advancing mobile robotics through innovative control systems and sensor technologies. A key contribution is the development of a network-based robot control architecture, which significantly reduces system weight and size while lowering cabling costs and maintenance effort—a practical breakthrough for deploying lighter, more efficient robots. This work has garnered foundational citations (6) for its impact on robot design. Kim also pioneered a real-time detection algorithm for heading direction errors in omnidirectional image sensors, using a hemispherical mirror and CCD camera setup to enhance mobile robot navigation accuracy (3 citations). This algorithm addresses critical challenges in autonomous movement, enabling robots to correct course instantly. By integrating network-based control with advanced visual sensing, Kim’s research bridges hardware efficiency and real-time perception, offering scalable solutions for robotics. Their work is particularly notable for its emphasis on practical, cost-effective implementations that reduce complexity without sacrificing performance, making it valuable for students and engineers seeking to build more agile, self-correcting robotic systems.