Bursa Technical University creates AI system for autonomous multi‑robot task sharing

Bursa Technical University’s Faculty of Engineering and Natural Sciences is developing an artificial‑intelligence‑based method for predictive, responsive adaptive task allocation among multiple robots. Led by Dr. Oğuz Mısır with researchers Doç. Dr. Nurettin Gökhan Adar and Doç. Dr. Mustafa Özden, the project—titled “Predictive, Responsive Adaptive Task Assignment for Multiple Robots”—received grant support to improve efficiency, load‑balancing and energy use in joint unmanned ground and aerial vehicle operations.

The system will analyse each robot’s position, mission status and power consumption, then distribute tasks via an AI decision‑making mechanism. As the team explains, the approach will allow robots to “consider both their own state and their relationships with one another to work more coordinately.” Testing will begin in simulation before moving to real‑world trials using BTU’s ROTASAM mobile robot platforms, targeting defence scenarios that require complex field management and situational awareness.