Papers
7
Total Citations
96
H-Index
5
About
A. A. Adekunle is a robotics researcher whose work centers on the critical challenges of mobile robot navigation, control, and automation. His primary research areas include path planning algorithms, path tracking control, and the integration of robotics in both industrial and agricultural settings. Adekunle’s most significant contribution is the development of the Improved Multi-Objective A-star (IMOA-star) algorithm, which optimizes path planning for wheeled mobile robots in large workspaces by simultaneously minimizing processing time, increasing path smoothness, and shortening path length. This work, published in 2021, has garnered 55 citations, underscoring its impact on the field. He has also produced comprehensive reviews on wheeled mobile robot path planning and tracking controller algorithms, which serve as foundational references for researchers. Beyond ground robots, Adekunle has explored wireless secure communication for aerial robots and applied evolutionary algorithms to improve DC motor control for path tracking. His practical innovations include a prototype line-following AGV for office environments and a robotic maize seed planter, demonstrating his commitment to solving real-world problems. With over 90 total citations, Adekunle’s work continues to influence the development of efficient, autonomous mobile systems.
Research Focus
Key Achievements
Top Papers
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- 6Development of A Robotic Maize Seed Planter4 citations · 2024
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