Taiga Honma

Papers

Total Citations

H-Index

About

Taiga Honma is a robotics researcher whose work focuses on computer vision, stereo imaging systems, and intelligent robot control. His research centers on the development of advanced visual tracking methodologies for active stereo vision robotic platforms, combining mechanical design with sophisticated control theory to enable precise three-dimensional object perception and pursuit. Honma's most notable contributions involve the design and implementation of control frameworks for active stereo vision robots — systems equipped with multi-jointed structures resembling biological neck and eye mechanisms. His 2003 work introduced a foundational control method that leverages the system's kinematic redundancy to optimize tracking behavior, while his follow-up 2005 study refined this approach by unifying image-based high-gain PD control with mechanical impedance control, achieving a balance between robust real-time tracking and smooth, stable robot motion. These contributions have garnered a combined 15 citations, reflecting their value to the robotics and machine vision communities. His research is particularly relevant for students exploring human-inspired robotic perception, sensor-motor integration, and autonomous surveillance or manipulation systems, offering practical frameworks that bridge theoretical control design with real-world implementation challenges in dynamic visual environments.