Hiroshi Seki
Papers
1
Total Citations
2
H-Index
1
About
Hiroshi Seki is a robotics researcher whose work focuses on advancing autonomous navigation for small-scale legged robots, particularly micro-hexapods. His key research areas include simultaneous localization and mapping (SLAM), LiDAR-based perception, and the dynamics of multi-legged locomotion in constrained environments. Seki’s major contribution lies in systematically analyzing how the inherent pose changes—such as body tilt and sway—during micro-hexapod walking degrade LiDAR-SLAM mapping accuracy, an issue previously underexplored. His 2024 paper, which has garnered 2 citations, provides critical experimental data showing that traditional SLAM algorithms, optimized for wheeled or larger platforms, fail to account for these micro-movements, leading to map distortion. This work is foundational for enabling reliable autonomous exploration by robot swarms in disaster zones, where compact, mass-producible hexapods are ideal. Seki’s research bridges a gap between hardware design and perception algorithms, offering practical insights for improving SLAM robustness in small, dynamically unstable robots. His findings are already influencing subsequent studies on adaptive filtering and gait optimization for legged robots, marking him as an emerging voice in field robotics and autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1