Max Robotics — Global Service Robot Directory + US Certification

About

Cagatay Koc’s research lies at the intersection of cognitive robotics, visual perception, and autonomous manipulation, with a focus on enabling service robots to perform everyday tasks reliably. His major contributions include developing a lifelong experimental learning framework that allows robots to analyze failure contexts and maintain consistent world models through visual scene interpretation. Koc’s work on continuous visual world modeling addresses the challenge of noisy sensing in household chores like cooking and cleaning, while his experience-based probabilistic planning methods enable robots to avoid potential failures by building and using online experience. His action monitoring systems detect execution inconsistencies in runtime, preventing damage to environments and objects. With over 42 citations across his most-cited papers, Koc’s research has significant impact in advancing robot robustness and safety. Notable achievements include his 2014 paper on scene interpretation for self-aware cognitive robots, which forms the foundation for his framework, and his 2024 work on object-aware interactive perception for tabletop exploration, demonstrating ongoing innovation. Koc’s work is essential for students and researchers interested in cognitive robotics, autonomous manipulation, and experiential learning.