Madoka Nakajima
Papers
1
Total Citations
9
H-Index
1
About
Dr. Madoka Nakajima is a robotics researcher whose work centers on visual perception and autonomous navigation for mobile robots. Her primary contributions lie in developing efficient, real-time tracking algorithms that enable robots to follow and interact with targets using minimal hardware. Her most cited paper, "Particle filter planar target tracking with a monocular camera for mobile robots" (2016, 9 citations), introduces PSIPT, a novel approach that leverages a particle filter to track planar targets using only a single color camera. This method is notable for its simplicity and effectiveness, reducing computational overhead while maintaining robust tracking performance—a critical advancement for resource-constrained mobile platforms. Dr. Nakajima’s research addresses the challenge of enabling robots to perceive and follow objects in dynamic environments, directly impacting fields like service robotics and autonomous inspection. Her work is recognized for bridging the gap between theoretical particle filtering and practical, low-cost robotic vision systems, making her a key contributor to accessible, vision-based robot navigation.
Research Focus
Key Achievements
Top Papers
- 1