Max Robotics — Global Service Robot Directory + US Certification

About

Min Seok Jie is a robotics and control systems researcher whose work has centered on autonomous mobile robot navigation, obstacle avoidance, and intelligent control strategies. His most influential contributions emerged in the mid-2000s, when he investigated how mobile robots could safely navigate dynamic environments by fusing vision systems with ultrasonic sensing. His 2007 paper on obstacle avoidance using vision and ultrasonic sensors garnered 21 citations, while his 2006 work on limit-cycle and vector field methods for real-time obstacle avoidance attracted 16 citations — together establishing him as a notable voice in sensor-based autonomous navigation. Jie later expanded his focus toward advanced control theory, developing Type-2 Fuzzy PID and self-tuning PID controllers to enhance autonomous robot performance in uncertain environments. These 2016 contributions reflect a sustained commitment to improving robustness and adaptability in mobile robotics. His 2007 work on image-based robust control of robot manipulators under Jacobian uncertainty further demonstrates a breadth of expertise spanning both mobile platforms and robotic arms. Collectively, his research offers practical, sensor-integrated solutions for real-world autonomous systems, making his body of work a valuable reference for students and engineers exploring intelligent robotics and adaptive control design.