NGI Seminar - Software Engineering for Robotic Systems: From Individual Robots to Autonomous Swarms

by Darko Bozhinoski, senior researcher at IRIDIA, Université Libre de Bruxelles in Brussels, Belgium

In this talk, I will discuss the impact of software engineering in developing robotic systems that can adapt to dynamic and heterogeneous environments. I will cover methodologies and tools essential for designing and developing sustainable robotic systems, ranging from individual robots to complex autonomous swarms. I will address the software engineering challenges specific to a variety of robotic systems, including the development of predictive quality models, formal adaptation strategies, and systematic mission specifications. Through experimental results and case studies, I will demonstrate how these approaches improve mission success, in real-world scenarios. I will conclude the presentation with a discussion of future research directions, focusing on scalable solutions for multi-robot coordination and the broader implications of these advancements for the integration of robotics into everyday life.

Darko Bozhinoski is a senior researcher at IRIDIA, Université Libre de Bruxelles in Brussels, Belgium, and founder of SciVenia . His research primarily focuses on software engineering, robotics, and self-adaptive systems. He received a Ph.D. in Computer Science from Gran Sasso Science Institute in 2017. He has coordinated and contributed to both national and European projects in the fields of robotics and software engineering, with his work receiving support from the U.S. Department of State's Fulbright Program and FNRS, the Belgian National Fund for Scientific Research. Throughout his career, he has collaborated with various companies and startups. Recently, he launched SciVenia, a platform designed to improve collaboration among scientists through scientific events. He is also deeply interested in science communication, with a particular focus on making scientific research more accessible to the general public by leveraging Large Language Models. More information is available at:http://iridia.ulb.ac.be/~dbozhin/.

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