Shinichiro Makino

Papers

Total Citations

H-Index

About

Shinichiro Makino’s research focuses on robotic perception and autonomous environmental understanding, with a particular emphasis on enabling service robots to interact intelligently with unknown objects and spaces. His major contributions lie in developing efficient 3D plane detection and object extraction methods using depth sensors—critical technologies for robots operating in unstructured environments. In his highly cited 2014 work, Makino introduced a novel 3D plane detection algorithm that applies particle swarm optimization, effectively addressing the high computational costs that plagued earlier methods. This approach allows robots to perceive and segment unknown objects more rapidly and accurately. His 2015 follow-up paper further refined these techniques, presenting a robust object extraction method that leverages plane detection to isolate unknown items for manipulation. Although his citation counts (11 and 5, respectively) reflect a focused, early-career impact, these works represent foundational steps in low-cost, sensor-driven robot perception. Makino’s research is particularly valuable for students and engineers working on service robotics, offering practical, computationally efficient solutions for real-world object recognition and scene understanding.