Er Meng Joo

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About

Er Meng Joo is a prominent researcher in robotics and intelligent control systems, with a focus on trajectory tracking, autonomous navigation, and mechatronic design. His major contributions include pioneering work on linear and nonlinear proportional-derivative (PD) type controllers for robotic manipulators, demonstrating that nonlinear gain functions can significantly enhance tracking performance and prevent actuator saturation—a key advancement for precision robotics. This work, published in 2009, has garnered 11 citations, underscoring its influence in the field of robotic control. Additionally, Er has advanced mobile robot autonomy through his development of Dynamic Fuzzy Q-Learning for goal seeking, enabling efficient obstacle avoidance and path planning, a method that has been cited 3 times. His practical engineering impact is further evidenced by the design and development of an autonomous glass cleaning robot, completed as part of Nanyang Technological University’s Undergraduate Research on Campus (URECA) program, which integrated controller design, vacuum suction systems, and servo motion control. This project highlights his commitment to bridging theoretical research with real-world applications. Er Meng Joo’s work continues to inspire students and researchers in robotics, control systems, and intelligent automation.