Kei Kakinuma
Papers
2
Total Citations
12
H-Index
2
About
Kei Kakinuma is a researcher specializing in mobile robotics, multi-robot systems, and pedestrian tracking in outdoor environments. Their major contributions lie in developing robust methods for laser-based pedestrian detection and tracking using multiple mobile robots, integrating Simultaneous Localization and Mapping (SLAM) with GPS fusion to enhance accuracy in real-world settings. Kakinuma’s work addresses critical challenges in autonomous navigation and human-robot interaction, particularly by enabling robots to collaboratively track moving pedestrians through occupancy-grid-based detection and Kalman filtering. This research has practical implications for applications such as surveillance, autonomous vehicles, and assistive robotics. While their most-cited papers, including “Laser-based pedestrian tracking with multiple mobile robots using outdoor SLAM” (2011) and “Outdoor pedestrian tracking by multiple mobile robots based on SLAM and GPS fusion” (2012), have garnered modest citation counts of 6 each, they represent foundational efforts in the field. Kakinuma’s innovative fusion of SLAM, GPS, and multi-robot coordination demonstrates a forward-thinking approach to overcoming environmental uncertainties, marking them as a contributor to the advancement of autonomous outdoor navigation systems.
Research Focus
Key Achievements
Top Papers
- 1
- 2