Anatoliy P. Karpenko
Papers
3
Total Citations
17
H-Index
3
About
Anatoliy P. Karpenko is a leading researcher in robotics and optimization, specializing in nature-inspired algorithms for group robotics and decentralized control systems. His work focuses on solving complex global optimization problems in multi-robot coordination, particularly for tasks such as searching for unknown scalar physical fields and managing robotic space modules. Karpenko’s major contributions include the development of meta-heuristic algorithms that enable decentralized control, allowing robot swarms to operate autonomously and efficiently in dynamic environments. His 2018 paper on nature-inspired algorithms for group robotics has garnered 8 citations, highlighting its influence in the field. Additionally, his research on the synthesis of program motion for robotic space modules, with 5 citations, demonstrates his impact on orbital assembly and servicing systems. Karpenko’s notable achievements include advancing the use of bio-inspired techniques to enhance the adaptability and robustness of robotic systems, making his work essential for students and researchers exploring autonomous robotics and space exploration technologies.
Research Focus
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Top Papers
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