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A Memristor-based Hybrid Analog-digital Computing Platform for Mobile Robotics by Chen, Buyun; Yang, Hao; Song, Boxiang; Meng, Deming; Yan, Xiaodong; Li, Yuanrui; Wang, Yunxiang; Hu, Pan; Ou, Tse-Hsien; Barnell, Mark; Wu, Qing; Wang, Han; Wu, Wei is a Engineering article available to read on EtoBox.
What is A Memristor-based Hybrid Analog-digital Computing Platform for Mobile Robotics about?
Algorithms for mobile robotic systems are generally implemented on purely digital computing platforms. Developing alternative computational platforms may lead to more energy-efficient and responsive mobile robotics. Here, we report a hybrid analog-digital computing platform enabled by memristors on a mobile inverted pendulum robot. Our mobile robotic system can tune the conductance states of memristors adaptively using a model-free optimization method to achieve optimal control performance. We implement sensor fusion and the motion control algorithms on our hybrid analog-digital computing platform and demonstrate more than one order of magnitude enhancement of speed and energy efficiency over traditional digital platforms.
Who reads A Memristor-based Hybrid Analog-digital Computing Platform for Mobile Robotics?
It is typically read by researchers, students, and practitioners in Engineering.
- Author
- Chen, Buyun; Yang, Hao; Song, Boxiang; Meng, Deming; Yan, Xiaodong; Li, Yuanrui; Wang, Yunxiang; Hu, Pan; Ou, Tse-Hsien; Barnell, Mark; Wu, Qing; Wang, Han; Wu, Wei
- Publisher
- American Association for the Advancement of Science (AAAS); American Association for the Advancement of Science (ISSN 2470-9476)
- Published
- 2020
- Language
- EN
- Field
- Engineering (Physical Sciences)