Makoto Sekiguchi
Papers
1
Total Citations
2
H-Index
1
About
Makoto Sekiguchi is a robotics researcher whose work centers on mobile robot navigation, intelligent software systems, and real-world autonomous operation. His primary contributions lie in developing modular, reusable software frameworks for mobile robots, enabling them to navigate safely and effectively in dynamic, human-populated environments. His 2012 paper, "Mobile Robot Outdoor Navigation with Upper Landmark Localization and Explicit Motion Planning," details a landmark-based localization and motion planning approach tested in the Tsukuba Challenge, a demanding real-world robotics competition. This work is part of the broader "Intelligent RT Software Project," which aims to create intelligent software modules that provide core mobile robot functionalities—such as localization, planning, and obstacle avoidance—for robust outdoor deployment. While his most-cited paper has 2 citations, its significance lies in its contribution to a modular, open-architecture approach that lowers the barrier for developing field-ready robots. Sekiguchi’s focus on practical, reusable software has helped advance the goal of bringing mobile robots out of the lab and into everyday human environments.
Research Focus
Key Achievements
Top Papers
- 1