Michail‐Antisthenis Tsompanas
Papers
8
Total Citations
60
H-Index
4
About
Michail-Antisthenis Tsompanas is a researcher working at the dynamic intersection of soft robotics, biohybrid systems, and computational intelligence. His work spans several interconnected domains, including the application of neural networks and neuroevolution algorithms to the design of soft and biohybrid machines, microbial fuel cells (MFCs) as eco-friendly energy sources, and cellular automata for optimization problems. Among his most notable contributions is his 2021 work applying neural networks to predict MFC output for soft robotics, garnering 27 citations and addressing a critical challenge in biodegradable robotics: reliable, sustainable energy. His research into biohybrid machines — systems that combine living cells with synthetic materials — pushes the boundaries of autonomous, adaptable robotics, particularly in medical applications such as catheter design and constrained-environment navigation. His use of neuroevolutionary and co-evolutionary algorithms to automate and de-bias the morphology design process represents a significant methodological advance. With growing citation counts across publications dating from 2018 to 2025, Tsompanas is establishing himself as an innovative voice in computational design methodologies for next-generation robotics, bridging biology, artificial intelligence, and engineering in ways increasingly relevant to healthcare and sustainable technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2Belousov-Zhabotinsky liquid marbles in robot control9 citations · 2019
- 3
- 4Cellular Automata Applications in Shortest Path Problem7 citations · 2018
- 5Using neuroevolution for designing soft medical devices4 citations · 2024
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