Tomoki Kobata

Papers

Total Citations

H-Index

About

Tomoki Kobata is a researcher focused on advancing automation in logistics and industrial robotics, with a particular emphasis on cost-effective, computer vision-driven solutions. His most cited work, "Development of automatic parcel delivery system using image processing techniques" (2016, 7 citations), addresses the growing demand for autonomous transportation in the delivery industry. Kobata’s key contribution lies in designing a system that leverages image processing to enable low-cost, automatic parcel handling—making robotic delivery more accessible for personal services. This work highlights his commitment to bridging the gap between cutting-edge automation and practical, real-world deployment. While his citation count reflects an emerging career, his research targets a critical niche in the transport sector, where efficiency and affordability are paramount. Kobata’s approach integrates robotics with computer vision to streamline logistics, offering a scalable model for future autonomous delivery systems. His achievements underscore a dedication to solving tangible industrial challenges, positioning him as a promising voice in the field of applied automation and intelligent transport systems.