Masahiro Ohk
Papers
2
Total Citations
6
H-Index
2
About
Masahiro Ohk is a robotics researcher whose work focuses on the critical challenge of enabling humanoid robots to navigate and operate autonomously within human-centric environments. His primary research areas include bipedal locomotion, autonomous navigation, and human-robot interaction, with a particular emphasis on developing systems that allow robots to function safely and effectively in unstructured, unseen spaces. Ohk's major contributions lie in trajectory planning and obstacle avoidance for humanoid robots. His 2006 paper on a "Groping Locomotion Algorithm" (4 citations) pioneered a method for robots to navigate by tactile sensing when visual data is insufficient, directly addressing the "working coexistence" problem. This was further advanced in his 2010 work on "Optimum Biped Trajectory Planning" (2 citations), which formalized a framework for generating stable, efficient walking paths in environments not specifically designed for machines. While his citation counts are modest, Ohk's research is notable for tackling the foundational, real-world constraints of deploying humanoids in emergency sites and shared living spaces—a problem that remains central to modern robotics. His work represents an early, systematic effort to bridge the gap between laboratory robots and practical, autonomous assistants.
Research Focus
Key Achievements
Top Papers
- 1
- 2