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Integration and Scheduling of Core Modules

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Brain-Inspired Intelligence and Visual Perception

Part of the book series: Research on Intelligent Manufacturing ((REINMA))

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Abstract

In this chapter, a theoretical framework of brain-inspired intelligence is finally established in synergetical implementation of the vision–brain, including the geospatial modeling (seen), the robotic integrated intelligence (understanding) and the brain-inspired decision system (response). For a better interpretation of these core modules and for the convenience of readers’ understanding, the planetary exploration wheeled mobile robot is employed as an example and double-layer human–machine interfaces are utilized to display how the vision–brain will function in the future. Based on the vision–brain hypothesis and the results of Chaps. 3 and 4, in order to solve a robot path-planning problem and decide an optimal path to the targets or regions of interest, obstacle avoidance through a geospatial modeling is essentially necessary. Scheduling of core modules can be further interpreted as a hierarchical cooperation process of the vision–brain with other technological modules. Alternatively, the architecture of a vision–brain can be interpreted as three-layer intelligence—seen, understanding and response. Such multilayer architecture of brain-inspired intelligence makes a better chance for extending related technologies, supporting the R&D of tele-operated machine intelligence , and has a universal significance for any future intelligent systems, especially for improving the cognition efficiency and robustness of a machine brain through a scene understanding .

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Authors and Affiliations

  1. CNITECH, Chinese Academy of Sciences, Institute of Advanced Manufacturing Technology, Ningbo, Zhejiang, China

    Wenfeng Wang

  2. Naval Aeronautical University, Yantai, Shandong, China

    Xiangyang Deng & Limin Zhang

  3. Harbin Institute of Technology, Harbin, Heilongjiang, China

    Liang Ding

Authors
  1. Wenfeng Wang
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  2. Xiangyang Deng
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  3. Liang Ding
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  4. Limin Zhang
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Correspondence to Wenfeng Wang .

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Wang, W., Deng, X., Ding, L., Zhang, L. (2020). Integration and Scheduling of Core Modules. In: Brain-Inspired Intelligence and Visual Perception. Research on Intelligent Manufacturing. Springer, Singapore. https://doi.org/10.1007/978-981-13-3549-5_5

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