COURSE

IOTA5203

Sensor Fusion and Cooperative Intelligence for Networked Robotics

Information Hub / Internet of Things · 3 Credits

Networked robots are increasingly used in exploration, logistics, inspection, and autonomous systems, where teams of robots must perceive their environment, share information, and make coordinated decisions. This course introduces the fundamental principles behind how such robots combine data from multiple sensors, and from one another, to build reliable perception and cooperative intelligence. Students will learn essential concepts in probabilistic sensor fusion, core filtering techniques, and modern machine-learning-based fusion approaches, and explore how these methods enable tasks such as distributed localization, collaborative mapping, and coordinated autonomy. The course provides practical skills for developing intelligent multi-robot systems and offers a strong foundation for research or advanced work in AI, robotics, and autonomous systems.