Ryota Kamoshida

Papers

Total Citations

H-Index

About

Ryota Kamoshida is a leading researcher in intelligent logistics and warehouse automation, with a focus on multi-agent systems and robotic coordination. His most influential work proposes a novel Automated Guided Vehicle (AGV) system that employs real-time holonic scheduling for warehouse picking—a breakthrough that has garnered 78 citations. This system revolutionizes order fulfillment by enabling AGVs to autonomously transport entire inventory or sorting shelves to stationary pickers, dramatically reducing worker travel time and increasing throughput. Kamoshida further advanced the field by developing a multi-agent simulation environment for logistics warehouse design (19 citations), where each autonomous subsystem—robots, conveyors, and material-handling equipment—operates as a self-contained agent. This framework allows engineers to model, test, and optimize complex warehouse behaviors before physical deployment, saving significant time and cost. His work sits at the intersection of robotics, real-time control, and industrial engineering, providing foundational tools for the next generation of smart warehouses. Kamoshida’s contributions are essential reading for anyone designing scalable, human-robot collaborative logistics systems.