Ouboti Djaneye-Boundjou

Papers

Total Citations

H-Index

About

Ouboti Djaneye-Boundjou is a researcher whose work centers on advancing the precision and control of robotic systems, with a particular focus on industrial automation and manipulator dynamics. His major contributions lie in two key areas: intelligent controller tuning and self-calibration methodologies. In his highly cited 2016 paper, he pioneered the use of automated particle swarm optimization to tune PID controllers for robotic arms, addressing the burdensome challenge of multi-degree-of-freedom torque control. This work has garnered 11 citations for its practical, optimization-driven approach to complex control problems. Building on this, his 2018 paper introduced a novel geometry-based self-kinematic calibration method for industrial robots—a significant departure from traditional techniques that require expensive external metrology devices. With 9 citations, this work stands out for its high practicality, enabling robots to calibrate themselves and dramatically improving accuracy in real-world industrial settings. Djaneye-Boundjou’s research is notable for its direct applicability, offering cost-effective, automated solutions that bridge the gap between theoretical control theory and tangible manufacturing needs.