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About

Thi Thoa Mac is a robotics and autonomous systems researcher whose work spans mobile robotics, intelligent control, agricultural automation, and human-robot interaction. With a career rooted in practical and innovative applications, Mac has made significant contributions to advancing robotic autonomy across diverse domains. Mac's early work includes developing a portrait generation system for the humanoid robot Pica (25 citations), enabling autonomous face drawing — a pioneering demonstration of computer vision integrated with robotic manipulation. This was followed by contributions to simultaneous localization and mapping (SLAM), with a hybrid visual-laser SLAM framework (21 citations) that improved 3D environment reconstruction for autonomous navigation. A consistent thread throughout Mac's research is the application of hedge-algebras (HA) theory as an alternative to traditional fuzzy logic for robot motion and trajectory control, with multiple papers exploring this mathematically elegant approach to intelligent control systems. More recently, Mac has expanded into agricultural robotics, developing deep learning-based disease detection systems for greenhouse tomatoes (18 citations) and autonomous agricultural robots, reflecting growing interest in precision farming. Practical healthcare applications, including a fleet management system for medicine-delivering robots (8 citations), further demonstrate the real-world impact of Mac's research. Collectively accumulating over 120 citations, Mac's work represents a compelling fusion of theory-driven control design and applied robotic intelligence.