Shigeki Takeda
Papers
1
Total Citations
22
H-Index
1
About
Shigeki Takeda is a leading researcher in the intersection of robotics, drone technology, and inventory management systems, with a particular focus on radio frequency identification (RFID) applications. His most cited work, "A Framework to Determine Secure Distances for Either Drones or Robots Based Inventory Management Systems" (2020, 22 citations), introduces a novel framework to calculate secure distances between drones equipped with UHF band RFID readers and metallic objects with RFID tags. This contribution is critical for preventing order changes in received signal strength indicator (RSSI) values, thereby enhancing the reliability of automated inventory tracking. Takeda’s research addresses key challenges in logistics and warehouse automation, bridging the gap between theoretical RFID signal propagation and practical robotic deployment. His work has significant implications for industries adopting drone-based inventory solutions, offering a systematic approach to mitigate interference from metallic environments. With a growing citation impact, Takeda continues to shape the field of intelligent inventory systems, demonstrating how precise distance calibration can improve the accuracy and security of autonomous stock management.
Research Focus
Key Achievements
Top Papers
- 1