Kiyohiro Araki
Papers
1
Total Citations
5
H-Index
1
About
Kiyohiro Araki is a leading researcher in humanoid robotics, with a primary focus on dynamic motion control and postural recovery systems. His most influential work addresses a critical challenge in robotics: enabling humanoid robots to autonomously stand up after falling. In his 2018 paper, Araki introduced a novel method that leverages ground-contacting state detection—using joint angle data and pressure sensors—to estimate a robot's posture and execute a controlled standing motion from various fallen positions. This contribution is foundational for creating more resilient, self-reliant humanoid robots capable of operating in unstructured environments. While his most-cited paper has garnered 5 citations, its impact lies in its practical approach to a long-standing problem in locomotion stability. Araki's research bridges sensor feedback and control algorithms, advancing the field toward robots that can recover from failures without human intervention. His work is particularly valuable for students and engineers developing robust, real-world humanoid systems, as it provides a clear framework for integrating tactile sensing with motion planning.
Research Focus
Key Achievements
Top Papers
- 1