Abdoulaye Boubakari

Papers

Total Citations

H-Index

About

Abdoulaye Boubakari is a robotics and control systems researcher whose work bridges artificial intelligence, machine vision, and bio-inspired optimization. His most impactful contribution, "Optimal Design of PID Controller for 2-DOF Drawing Robot Using Bat-Inspired Algorithm" (2019, 18 citations), pioneered the application of swarm intelligence to fine-tune robotic manipulators, demonstrating how bat echolocation algorithms can dramatically improve precision in multi-degree-of-freedom systems. This foundational work has influenced subsequent studies in metaheuristic control design. In "Hybrid Self-Balancing and Object Tracking Robot Using Artificial Intelligence and Machine Vision" (2020, 7 citations), Boubakari tackled the classic two-wheeled inverted pendulum problem by fusing deep learning-based object detection with real-time balance control, creating a mobile robot capable of autonomously tracking targets while maintaining stability. This hybrid approach addresses a critical challenge in service robotics—combining dynamic locomotion with perception. Boubakari’s research is particularly notable for its practical orientation: his algorithms are designed for implementation on low-cost embedded systems, making advanced robotics accessible to developing-world applications. With a growing citation record and a focus on intelligent, bio-inspired control, Boubakari is establishing himself as a creative voice in the intersection of optimization algorithms and autonomous systems.