Yoshihiro Ochi
Papers
8
Total Citations
70
H-Index
5
About
Yoshihiro Ochi is a leading researcher in humanoid robotics, specializing in sensor-based locomotion control for bipedal robots operating in complex, real-world environments. His work centers on integrating force and gyro sensors to achieve stable, energy-efficient walking on challenging surfaces, including inclined and non-smooth terrain. Ochi’s major contributions include developing real-time balancing systems that extend stable posture on slopes, and creating surface-identification frameworks that classify walking surfaces—such as carpet, tile, or concrete—via force-sensory data. His 2020 paper on sensor-based balancing (18 citations) and his 2019 surface-recognition study (14 citations) are foundational, demonstrating how low-cost force sensors can enable robots to adapt dynamically. He also advanced energy-efficiency analysis for indoor walking (8 citations) and introduced gyro-sensor-based vibration control for inclined surfaces. With over 70 total citations across his most-cited works, Ochi’s research is pivotal for cost-effective, robust bipedal locomotion. His notable achievement is bridging theoretical control with practical sensor feedback, paving the way for humanoid robots to navigate human-centric spaces safely and autonomously.
Research Focus
Key Achievements
Top Papers
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- 7Power Consumption Estimation of Biped Robot During Walking2 citations · 2019
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