Shinji Ishihara
Papers
5
Total Citations
21
H-Index
3
About
Shinji Ishihara is a robotics researcher focused on advancing autonomous navigation and coordination for warehouse automation. His primary research areas include model predictive control (MPC), multi-robot path planning, and collision avoidance for heterogeneous agents in constrained environments. Ishihara’s major contributions center on developing MPC-based frameworks that optimize warehouse robot performance without relying on global path predefinitions, enabling real-time, adaptive motion generation. His 2022 paper, "A Proposal of Path Planning for Robots in Warehouses by Model Predictive Control without Using Global Paths," has garnered 9 citations, reflecting its foundational impact. He has also explored safety-aware navigation integrating independent LiDAR sensors and cooperative motion strategies for diverse robot teams. Notably, his work extends to assistive robotics, as seen in his 2018 design of a low-cost standing aid robot using linear actuators. Ishihara’s research addresses critical challenges in e-commerce logistics, offering scalable solutions for efficient, collision-free warehouse operations.
Research Focus
Key Achievements
Top Papers
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- 5A low-cost standing aid robot with linear actuators2 citations · 2018