Max Robotics — Global Service Robot Directory + US Certification

About

Tufan Kumbasar is a leading researcher in intelligent control systems, with a primary focus on fuzzy logic control, type-2 fuzzy systems, and autonomous robotics. His most significant contributions lie in the development of advanced type-2 fuzzy PID and PI controllers, which are designed to handle high levels of uncertainty in dynamic environments. His highly cited work, "Big Bang–Big Crunch optimization based interval type-2 fuzzy PID cascade controller design strategy" (108 citations), and "A Self-Tuning zSlices-Based General Type-2 Fuzzy PI Controller" (102 citations), have set benchmarks in the field by demonstrating how these controllers can produce smoother control surfaces and more robust performance near steady states. Kumbasar has also made notable contributions to mobile robotics, including real-time path tracking control for non-holonomic robots and the design of the YAFT two-wheeled inverted pendulum robot. His work on fuzzy gesture recognition systems for interacting with spherical robots like Sphero 2.0 showcases his ability to bridge intelligent control with human-robot interaction. Through his experimental studies comparing type-1 and interval type-2 fuzzy controllers, Kumbasar has provided critical insights into why type-2 fuzzy logic offers superior control performance in uncertain conditions.