Michio Tanaka
Papers
2
Total Citations
6
H-Index
2
About
Michio Tanaka is a robotics researcher whose work focuses on human-robot interaction and perception for service robots. His key contributions lie in developing vision-based systems that enable robots to detect, recognize, and interact with humans and objects in domestic environments. His most cited paper, "Human Detection and Face Recognition Using 3D Structure of Head and Face Surfaces Detected by RGB-D Sensor" (2015, 4 citations), proposes a method for identifying humans by analyzing the three-dimensional geometry of their head and face using affordable RGB-D sensors—a critical capability for home service robots that must communicate safely with people. In related work, "Depth-Based Visual Servoing Using Low-Accurate Arm" (2016, 2 citations) addresses the practical challenge of enabling low-cost robotic arms to grasp everyday objects. By combining SURF feature matching with depth data from an RGB-D sensor, Tanaka’s method compensates for mechanical inaccuracies, making robotic manipulation more accessible. Though his citation counts are modest, Tanaka’s research is notable for its emphasis on practical, cost-effective solutions that bridge the gap between advanced perception algorithms and real-world robotic systems, contributing to the development of affordable and capable service robots for home assistance.
Research Focus
Key Achievements
Top Papers
- 1
- 2Depth-Based Visual Servoing Using Low-Accurate Arm2 citations · 2016