Ikenna Enebuse

Papers

Total Citations

147

H-Index

About

Ikenna Enebuse is a leading researcher in the field of robotic perception and automation, with a primary focus on hand-eye calibration for vision-guided robots. His work addresses a fundamental challenge in robotics: enabling machines to accurately perceive and interact with their environment through precise alignment of visual sensors and robotic manipulators. Enebuse’s major contributions include a comprehensive comparative review of hand-eye calibration techniques, which has become a seminal reference in the field, accumulating over 128 citations since 2021. This work systematically evaluates the strengths and limitations of various calibration methods, providing crucial guidance for applications requiring sub-millimetre accuracy, such as robot-assisted surgery and precision assembly. His subsequent research, published in 2022, further advances the field by conducting rigorous accuracy evaluations of these techniques, specifically targeting industrial applications like bin picking and inspection operations. With a combined citation count exceeding 147, Enebuse’s research has significantly influenced both academic understanding and practical implementation of robotic perception systems. His work is particularly notable for bridging the gap between theoretical calibration methods and real-world robotic applications, making him a key figure in the advancement of vision-guided robotics.