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Sensor Data Fusion for Body State Estimation in a Bipedal Robot and Its Feedback Control Application for Stable Walking
We report on a sensor data fusion algorithm via an extended Kalman filter for estimating the spatial motion of a bipedal robot. Through fusing the sensory information from joint encoders, a 6-axis inertial measurement unit and a 2-axis inclinometer, the robot’s body state at a specific fixed positio...
Autores principales: | Chen, Ching-Pei, Chen, Jing-Yi, Huang, Chun-Kai, Lu, Jau-Ching, Lin, Pei-Chun |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2015
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4435225/ https://www.ncbi.nlm.nih.gov/pubmed/25734644 http://dx.doi.org/10.3390/s150304925 |
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