Kento Tariki

Nara Institute of Science and Technology

Papers

Total Citations

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About

Dr. Kento Tariki is a leading researcher in intelligent manufacturing and robotic assembly automation, whose work bridges the gap between 3D computer-aided design (CAD) and autonomous industrial robotics. His primary research areas include automated assembly sequence planning, geometric reasoning for manufacturing, and the reduction of human intervention in robotic programming. Dr. Tariki’s most significant contribution is his pioneering method for generating complex assembly sequences directly from 3D CAD models by considering insertion relations. This approach, detailed in his highly cited 2020 paper (22 citations), replaces the labor-intensive, manual teaching of assembly steps to robots with an automated, algorithmic process. By employing a genetic algorithm to generate initial sequences from CAD data, his work dramatically streamlines production setup, saving time and reducing errors in manufacturing environments. This innovation has been recognized as a critical step toward fully autonomous factories, earning him a reputation as a key figure in the evolution of smart manufacturing. Dr. Tariki’s research continues to shape how industries leverage digital models to drive physical automation.