Minoru Fukumi

About

Minoru Fukumi is a pioneering researcher in human-robot interaction and intelligent robotics, with a focus on making robots more intuitive and accessible through advanced visual recognition systems. His work centers on gesture recognition, hand posture classification, and facial feature detection—critical components for natural human-robot communication. Fukumi’s most cited paper, “Classification of hand postures based on 3D vision model for human-robot interaction” (2010, 15 citations), introduced a robust method for recognizing hand shapes without cumbersome data gloves, using 3D vision to adapt to real-world environments. He also developed an innovative age estimation system for Sony’s AIBO robot (2008, 9 citations), enhancing autonomous social interaction, and proposed a high-speed genetic algorithm for lips detection (2007, 6 citations), enabling real-time tracking of facial features. His contributions extend to biped robot walking control via image processing and motion stereo vision for simple mobile robot interfaces. By combining genetic algorithms, template matching, and vision-based control, Fukumi has advanced the field of service robotics, creating systems that allow non-experts to operate robots through natural gestures—a key step toward widespread adoption of assistive robots in homes and industries.

Research Focus

Key Achievements

Top Papers

1. 1
   Classification of hand postures based on 3D vision model for human-robot interaction

   15 citations · 2010
2. 2
   An age estimation system on the AIBO

   9 citations · 2008
3. 3
   High Speed Genetic Lips Detection by Dynamic Search Domain Control

   6 citations · 2007
4. 4
   Operation improvement of indoor robot by gesture recognition

   4 citations · 2011
5. 5
   Biped robot walking control using image processing

   3 citations · 2009
6. 6
   A Simple Interface for Mobile Robot Equipped with Single Camera using Motion Stereo Vision

   2 citations · 2012

Key Collaborators

Contact & Links