Skip to main content

Neuroscience in Motion: The Application of Schema Theory to Mobile Robotics

  • Chapter
Visuomotor Coordination

Abstract

Theories for path planning behavior in animals can be of great value in providing significant insights into the design of functioning mobile robot systems. A mobile robot path execution system has been developed that strongly correlates with a model for detour behavior in the frog. The robot’s motor schema based navigation system draws on potential field methodology to produce “intelligent” behavior based on environmental perception. Both simulation and actual experimental results are presented.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  • Arbib M (1981) Perceptual structures and distributed motor control. In: Brooks R (ed) Handbook of physiology. The nervous system IL American Physiological Society, Bethesda MD, pp 1449–1465

    Google Scholar 

  • Arbib M, House D (1985) Depth and detours: an essay on visually guided behavior. COINS Tech Rep 85–20

    Google Scholar 

  • Arkin R (1986) Path planning for a vision-based mobile robot. COINS Tech Rep 86–48

    Google Scholar 

  • Arkin R (1987a) Motor schema based navigation for a mobile robot: an approach to programming by behavior. Proc IEEE Int Conf on Robotics and Automation, pp 264–271

    Google Scholar 

  • Arkin R (1987b) Reactive/reflexive navigation for an autonomous vehicle. Proc of the American Institute for Aeronautics and Astronautics Computers in Aerospace VI Conference, Wakefield MA, pp 298–306

    Google Scholar 

  • Arkin R (1987c) Towards cosmopolitan robots: intelligent navigation in extended man-made environment and PhD Dissertation, Dept of Computer and Information Science, Univ of Mass, Amherst (see also COINS Tech Rep 87: 80 )

    Google Scholar 

  • Barto A, Anderson C, Sutton R (1982) Synthesis of nonlinear control surfaces by a layered associative search network. Biol Cybern 43: 175–185

    Article  PubMed  CAS  Google Scholar 

  • Brooks R (1986a) Achieving artificial intelligence through building robots. MITA I Lab Memo 899

    Google Scholar 

  • Brooks R (1986b) A robust layered control system for a mobile robot. IEEE Journal of Robotics and Automation 2 (1): 14–23

    Article  Google Scholar 

  • Collett T (1983) Picking a route: do toads follow rules or make plans? In: Ewert J-P, Capranica RR, Ingle DJ (eds) Advances in vertebrate neuroethology. Plenum Press, New York, pp 321–330

    Chapter  Google Scholar 

  • Craik KJW (1943) The nature of explanation. Cambridge Univ Press, London

    Google Scholar 

  • Krogh B, Thorpe C (1986) Integrated path planning and dynamic steering control for autonomous vehicles. Proc IEEE Int Cont on Robotics and Automation, pp 1664–1669

    Google Scholar 

  • Lock A, Collett T (1979) A toad’s devious approach to its prey: a study of some complex uses of depth vision. J Comp Physiol 131: 179–189

    Article  Google Scholar 

  • Lyons D (1986) RS: a formal model of distributed computation for sensory-based robot control PhD Dissertation, Dept of Computer and Information Science, Univ of Mass, Amherst (see also COINS Tech Rep 86–43)

    Google Scholar 

  • Mittelstaedt H (1985) Analytical cybernetics of spider navigation. In: Barth FG (ed) Neurobiology of arachnids. Springer-Verlag, Berlin Heidelberg New York, pp 298–316

    Chapter  Google Scholar 

  • Mittelstaedt M, Mittelstaedt H, Mohren W (1979) Interaction of gravity and idiothetic course control in millipedes. J Comp Physiol 133: 267–281

    Article  Google Scholar 

  • Neisser U (1976) Cognition and reality: principles and implications of cognitive psychology. Freeman, San Francisco

    Google Scholar 

  • Overton K (1984) The acquisition, processing, and use of tactile sensor data in robot control. PhD Dissertation, Dept of Computer and Information Science, Univ of Mass, Amherst (see also COINS Tech Rep 84–08)

    Google Scholar 

  • Piaget J (1971) Biology of knowledge. Edinburgh Univ Pess, Edinburgh

    Google Scholar 

  • Webster M (1984) Webster’s ninth new collegiate dictionary. Merriam-Webster, Springfield, MA

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1989 Springer Science+Business Media New York

About this chapter

Cite this chapter

Arkin, R.C. (1989). Neuroscience in Motion: The Application of Schema Theory to Mobile Robotics. In: Ewert, JP., Arbib, M.A. (eds) Visuomotor Coordination. Springer, Boston, MA. https://doi.org/10.1007/978-1-4899-0897-1_22

Download citation

  • DOI: https://doi.org/10.1007/978-1-4899-0897-1_22

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4899-0899-5

  • Online ISBN: 978-1-4899-0897-1

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics