Motohiro Sanpei
Papers
1
Total Citations
4
H-Index
1
About
Motohiro Sanpei is a researcher in autonomous mobile robotics, with a core focus on simultaneous localization and mapping (SLAM) and navigation planning under uncertainty. His most-cited work, "Effective strategy for autonomous navigation without prior knowledge in FastSLAM" (2009, 4 citations), addresses a fundamental challenge in robotics: enabling a robot to navigate an unknown environment without relying on pre-existing maps or prior knowledge. Sanpei’s key contribution lies in developing an efficient strategy that leverages the probabilistic distributions of robot position and map estimates—generated by solving the SLAM problem—to guide navigation decisions in real time. By integrating a highly efficient variant of FastSLAM, his approach allows robots to plan paths that simultaneously reduce localization uncertainty and explore new areas, effectively balancing the trade-off between exploration and map accuracy. While his citation count is modest, the work is notable for tackling the practical problem of autonomous navigation in GPS-denied or unstructured environments, where prior knowledge is unavailable. Sanpei’s research offers valuable insights for students and engineers working on field robotics, autonomous vehicles, and real-world deployment of SLAM-based systems.
Research Focus
Key Achievements
Top Papers
- 1