𝗠𝗮𝘀𝘁𝗲𝗿’𝘀 𝗦𝘁𝘂𝗱𝗲𝗻𝘁𝘀 𝗗𝗿𝗶𝘃𝗶𝗻𝗴 𝗜𝗻𝗻𝗼𝘃𝗮𝘁𝗶𝗼𝗻 𝗶𝗻 𝗖𝗶𝗿𝗰𝘂𝗯𝗼𝘁 – 𝗔𝗽𝗽𝗹𝗶𝗲𝗱 𝗥𝗼𝗯𝗼𝘁𝗶𝗰𝘀 𝗳𝗼𝗿 𝗖𝗶𝗿𝗰𝘂𝗹𝗮𝗿 𝗘𝗰𝗼𝗻𝗼𝗺𝘆

The 𝗖𝗶𝗿𝗰𝘂𝗯𝗼𝘁 𝗽𝗿𝗼𝗷𝗲𝗰𝘁 is about more than technology—it’s about empowering people to design practical, scalable solutions for environmental and industrial challenges. Our master’s students Nikola Ružić and Danilo Klasanović embraced this mission in their thesis work, contributing directly to Circubot’s goals through hands-on innovation.

📌 𝗡𝗶𝗸𝗼𝗹𝗮 𝗥𝘂𝘇𝗶𝗰 tackled the development of 𝗽𝗶𝗰𝗸-𝗮𝗻𝗱-𝘁𝗼𝘀𝘀 𝗺𝗮𝗻𝗶𝗽𝘂𝗹𝗮𝘁𝗶𝗼𝗻 using collaborative robots. By combining 𝗿𝗲𝗶𝗻𝗳𝗼𝗿𝗰𝗲𝗺𝗲𝗻𝘁 𝗹𝗲𝗮𝗿𝗻𝗶𝗻𝗴 with classical control, his system enables fast, targeted object throwing—ideal for 𝗮𝘂𝘁𝗼𝗺𝗮𝘁𝗲𝗱 𝘄𝗮𝘀𝘁𝗲 𝘀𝗼𝗿𝘁𝗶𝗻𝗴 in flexible environments. His work was trained and tested using parallel simulations in 𝗡𝗩𝗜𝗗𝗜𝗔 𝗜𝘀𝗮𝗮𝗰 𝗦𝗶𝗺.

📌 𝗗𝗮𝗻𝗶𝗹𝗼 𝗞𝗹𝗮𝘀𝗮𝗻𝗼𝘃𝗶𝗰 developed a 𝗿𝗲𝗮𝗹-𝘁𝗶𝗺𝗲 𝘁𝗮𝘀𝗸 𝘀𝗰𝗵𝗲𝗱𝘂𝗹𝗶𝗻𝗴 𝗮𝗹𝗴𝗼𝗿𝗶𝘁𝗵𝗺 for collaborative human-robot teams operating on conveyor-based sorting systems. His solution intelligently manages objects of 𝘂𝗻𝗸𝗻𝗼𝘄𝗻 𝘀𝗵𝗮𝗽𝗲 𝗮𝗻𝗱 𝗽𝗼𝘀𝗶𝘁𝗶𝗼𝗻, dynamically assigning tasks based on 𝗵𝘂𝗺𝗮𝗻 𝗳𝗮𝘁𝗶𝗴𝘂𝗲 𝗲𝘀𝘁𝗶𝗺𝗮𝘁𝗶𝗼𝗻, object location and class, robot availability, and the potential for human-robot collisions. The system is designed to balance productivity with worker well-being, ensuring ergonomic and efficient task distribution. A 𝗰𝘂𝘀𝘁𝗼𝗺 𝗣𝘆𝘁𝗵𝗼𝗻-𝗯𝗮𝘀𝗲𝗱 𝘀𝗶𝗺𝘂𝗹𝗮𝘁𝗶𝗼𝗻 𝗲𝗻𝘃𝗶𝗿𝗼𝗻𝗺𝗲𝗻𝘁 was developed to test performance across different operating conditions, such as object arrival rate, conveyor speed, and workforce availability—demonstrating how smart scheduling can improve safety and throughput in complex industrial environments.

Their work exemplifies the strength of the Circubot approach: connecting academia with real industrial needs, and showing how student-driven research can contribute to building a 𝗺𝗼𝗿𝗲 𝗰𝗶𝗿𝗰𝘂𝗹𝗮𝗿, 𝗲𝗳𝗳𝗶𝗰𝗶𝗲𝗻𝘁, 𝗮𝗻𝗱 𝗵𝘂𝗺𝗮𝗻-𝗰𝗲𝗻𝘁𝗲𝗿𝗲𝗱 𝗳𝘂𝘁𝘂𝗿𝗲.