Papers
14
Total Citations
307
H-Index
8
About
Darko Bozhinoski is a researcher whose work spans swarm robotics, autonomous systems, and software engineering for robotics, with a particular focus on making complex robotic systems safer, more adaptable, and easier to design. His most influential contribution—"Automatic Off-Line Design of Robot Swarms: A Manifesto" (2019, 79 citations)—helped crystallize the field's understanding of manual versus automatic design methodologies for collective robotic behaviors. Complementing this, his work on behavior trees as control architectures (51 citations) introduced practical, modular frameworks for automating swarm design, later formalized in the Maple design method. Bozhinoski has also made significant strides in robotic safety, with his systematic mapping study on mobile robotic systems safety (65 citations) becoming a key reference for software engineers working in the field. His research extends into runtime adaptation, exemplified by the MROS framework (2022), which enables robots to dynamically respond to component failures and environmental uncertainties within ROS-based architectures. With contributions touching underwater autonomy and metacontrol, Bozhinoski bridges theoretical design principles with real-world autonomous systems challenges, accumulating over 290 citations across a focused and cohesive body of work.
Research Focus
Key Achievements
Top Papers
- 1Automatic Off-Line Design of Robot Swarms: A Manifesto79 citations · 2019
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- 4Functional Self-Awareness and Metacontrol for Underwater Robot Autonomy26 citations · 2021
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- 6MROS: runtime adaptation for robot control architectures18 citations · 2022
- 7Designing control software for robot swarms11 citations · 2018
- 8A Modeling Tool for Reconfigurable Skills in ROS10 citations · 2021
- 9
- 10Towards an integrated automatic design process for robot swarms6 citations · 2021