Takao Kakizaki
NTT (Japan), Ohu University, Interface (United Kingdom), Nihon University
Papers
15
Total Citations
129
H-Index
6
About
Takao Kakizaki is a robotics researcher whose work spans dynamic modeling of robotic systems, intelligent human-robot interaction, and industrial automation. His most influential contribution, "Modeling the Spatial Dynamics of Robotic Manipulators with Flexible Links and Joint Clearances" (1993, 60 citations), established a sophisticated dynamic modeling framework for elastic manipulators that realistically accounts for bearing clearances, actuator dynamics, and control system behavior — a foundational reference for robotics engineers tackling real-world manipulator design challenges. Kakizaki has made significant strides in industrial robot calibration, demonstrating experimental dynamic parameter identification for the PUMA260 manipulator and applying these findings to improved trajectory control. A recurring theme in his research is intelligent human-robot collaboration: his multimodal teaching advisor (MTA) systems pioneered frameworks that blend operator expertise with sensor data, leveraging what he termed "task world reality" to enhance on-site robot programming. His high-speed visual sensing work enabled precise seam-tracking in automobile body sealing processes, contributing directly to manufacturing automation. Later in his career, Kakizaki addressed societal challenges, developing road-surface washing mechanisms for decontaminating radioactive substances following the 2011 Fukushima disaster. Collectively, his research reflects a sustained commitment to making robotic systems smarter, more adaptive, and responsive to real-world human and environmental demands.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3
- 4
- 5
- 6
- 7
- 8
- 9
- 10