Aleksandr Sidorenko
SmartFactory (Germany), German Research Centre for Artificial Intelligence
Papers
2
Total Citations
13
H-Index
2
About
Aleksandr Sidorenko is a leading researcher in intelligent manufacturing and human-robot collaboration, with a focus on modular, reconfigurable systems. His work centers on skill-based engineering and multi-agent control architectures that enable flexible, safe, and efficient automation. Sidorenko’s most influential paper, “Using Behavior Trees for Coordination of Skills in Modular Reconfigurable CPPMs” (2022, 10 citations), introduces a novel approach that abstracts machine-specific functionality into generic, reusable “skills” treated as control-level services. This framework allows for robust coordination in cyber-physical production modules, advancing service-oriented architectures in manufacturing. His more recent work, “Skill-based multi-agent control for safe and effective human-robot collaboration” (2025, 3 citations), tackles the critical challenge of integrating robotic support into complex manual tasks by proposing an agent-based design that prioritizes safety and reduces integration costs. Together, these contributions demonstrate Sidorenko’s impact on bridging the gap between theoretical control methods and practical, human-centric automation—a vital step toward the factories of the future.
Research Focus
Key Achievements
Top Papers
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- 2