Kodjo Agbossou
Papers
2
Total Citations
7
H-Index
2
About
Kodjo Agbossou is a leading researcher in intelligent energy management and autonomous vehicle localization, with a focus on hybrid power systems for industrial applications. His work bridges advanced control theory and practical automation, particularly through the development of energy management strategies (EMS) for fuel cell hybrid self-guided vehicles (SGVs). In a highly cited 2022 paper, Agbossou proposed a fuzzy logic controller (FLC)-based EMS that optimally splits power between fuel cells and batteries, significantly improving the efficiency and autonomy of automated guided vehicles (AGVs) in warehouses and assembly plants. He also pioneered a Kalman-Particle hybrid filter for enhanced indoor localization of AGVs, addressing critical challenges in self-navigation for healthcare and industrial settings. With over 4 citations on his most recent work, Agbossou’s contributions are shaping the next generation of autonomous logistics and green transportation. His research not only advances theoretical frameworks in hybrid filtering and real-time power management but also delivers scalable solutions for Industry 4.0, making him a key figure in sustainable automation and mobile robotics.
Research Focus
Key Achievements
Top Papers
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