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Brain-Inspired Perception, Motion and Control

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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 possible solution for the future real implementation of brain-inspired perception (vision, audition and tactile), motion (the optimal path planning) and control (robots’ behavior management) is further presented. Based on the results from Chaps. 2–5, a conceptual model is established to evaluate cognition efficiency of the vision–brain, taking danger recognition as an example. Based on the vision hypothesis, the underwater robots with a deep vision system—single-shot multibox detector (SSD)—can preliminarily link the robotic vision cognition module with the brain-inspired perception, motion and control. Such a deep vision system can also be utilized to further enhance the performance of planetary exploration wheeled mobile robot in Chap. 5 or other robots. Core functional modules for future rebuilding a real vision–brain, along with the major principles to implement a real brain cognition, are presented, which include memory, thinking, imagination, feeling, speaking and other aspects associated with visual perception . Realization of a vision–brain not only includes the fusion of sensors, but also includes the fusion of feature and knowledge. Deep robotic vision is strongly suggested to be introduced into the future advanced robotic control system. At the end of this chapter, the intelligence extremes of the vision–brain and the necessity for the avoidance of robots’ threatening to human are theoretically analyzed, and therefore, the necessity to set an up limit for the development of artificial intelligence is theoretically demonstrated.

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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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Corresponding author

Correspondence to Wenfeng Wang .

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© 2020 Huazhong University of Science and Technology Press, Wuhan and Springer Nature Singapore Pte Ltd.

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Wang, W., Deng, X., Ding, L., Zhang, L. (2020). Brain-Inspired Perception, Motion and Control. In: Brain-Inspired Intelligence and Visual Perception. Research on Intelligent Manufacturing. Springer, Singapore. https://doi.org/10.1007/978-981-13-3549-5_6

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