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Smart Robot Control via Novel Computational Intelligence Methods for Ambient Assisted Living

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Trends in Ambient Intelligent Systems

Part of the book series: Studies in Computational Intelligence ((SCI,volume 633))

Abstract

In recent years, we have witnessed a rapid surge in ambient assisted living (AAL) technologies due to a rapidly aging society. The aging population, the increasing cost of formal health care, the caregiver burden, and the importance that the individuals place on living independently, all motivate development of innovative-assisted living technologies for safe and independent aging. Among all areas, the development of assistive robots with potential application to health and elderly care is drawing a lot attention from both industry and academia. Several such prototypes (e.g., wearable assisted-walking device designed by Honda, and personal transport assistance robot designed by Toyota) have been made. These robots are inevitably supported by various algorithms and computational techniques. In this work, we provide an overview of applying emerging CI (i.e., non-conventional CI) approaches to various smart robot control scenarios which, from the author’s viewpoint, have a great influence on various ambient assisted living (AAL) robot related activities, such as location identification, manipulation, communication, vision, learning, and docking capabilities. The innovative CI methods covered in this chapter include bacteria foraging optimization (BFO), bees algorithm (BA), glowworm swarm optimization (GSO), grey wolf optimizer (GWO), electromagnetism-like mechanism (EM), intelligent water drops (IWD), and gravitational search algorithm (GSA). The findings of this work can provide a good source for someone who is interested in the research filed of AAL robot.

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Authors and Affiliations

  1. Computational Intelligence, Robotics, and Cybernetics for Leveraging E-future (CIRCLE), Department of Computer Science, School of Mathematical and Computer Sciences, Faculty of Science and Agriculture, University of Limpopo, Private Bag X1106, 0727, Sovenga, Limpopo, South Africa

    Bo Xing

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Editors and Affiliations

  1. School of Engineering & Technology, Sharda University, Greater Noida, India

    Kiran Kumar Ravulakollu

  2. Computing (Ministry of Comm. and IT, Centre for Development of Advanced, Noida, India

    Mohammad Ayoub Khan

  3. (MIR Labs), Machine Intelligence Research Labs, Auburn, Washington, USA

    Ajith Abraham

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Xing, B. (2016). Smart Robot Control via Novel Computational Intelligence Methods for Ambient Assisted Living. In: Ravulakollu, K., Khan, M., Abraham, A. (eds) Trends in Ambient Intelligent Systems. Studies in Computational Intelligence, vol 633. Springer, Cham. https://doi.org/10.1007/978-3-319-30184-6_2

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