Object Contour Reconstruction using Bio-inspired Sensors

Christoph Will, Joachim Steigenberger, Carsten Behn

2014

Abstract

This work is inspired and motivated by the sophisticated mammals sense organ of touch: vibrissa. Mammals, especially rodents, use their vibrissae, located in the snout region – mystacial vibrissae – to determine object contacts (passive mode) or to scan object surfaces (active mode). Here, we focus on the passive mode. In order to get hints for an artificial sensing prototype, we set up a mechanical model in form of a long slim beam which is one-sided clamped. We investigate in a purely analytical way a quasi-static sweep of the beam along a given profile, where we assume that the profile boundary is strictly convex. This sweeping procedure shows up in two phases, which have to be distinguished in profile contact with the tip and tangentially contact (between tip and base). The analysis eventuates in a phase decision criterion and in a formula for the contact point. These are the main results. Moreover, based on the observables of the problem, i.e. the clamping moment and the clamping forces, which are the only information the animal relies on, a reconstruction of the profile is possible – even with added uncertainty mimicking noise in experimental data.

References

  1. Abramowitz, M. and Stegun, I. A. (1972). Handbook of mathematical functions: With formulas, graphs, and mathematical tables, volume 55 of National Bureau of Standards applied mathematics series. United States Department of Commerce, Washington, DC, 10. print., dec. 1972, with corr edition.
  2. Behn, C. (2013a). Mathematical Modeling and Control of Biologically Inspired Uncertain Motion Systems with Adaptive Features. PhD thesis, Technische Universität Ilmenau, Ilmenau.
  3. Behn, C. (2013b). Modeling the behavior of hair follicle receptors as technical sensors using adaptive control. In ICINCO (1), pages 336-345.
  4. Birdwell, J. A., Solomon, J. H., Thajchayapong, M., Taylor, M. A., Cheely, M., Towal, R. B., Conradt, J., and Hartmann, M. J. Z. (2007). Biomechanical Models for Radial Distance Determination by the Rat Vibrissal System. Journal of Neurophysiology, 98(4):2439-2455.
  5. Clements, T. N. and Rahn, C. D. (2006). Three-dimensional contact imaging with an actuated whisker. IEEE Transactions on Robotics, 22(4):844-848.
  6. Hirose, S., Inoue, S., and Yoneda, K. (1989). The whisker sensor and the transmission of multiple sensor signals. Advanced Robotics, 4(2):105-117.
  7. Kim, D. and Möller, R. (2006). Passive sensing and active sensing of a biomimetic whisker. In Rocha, L. M., editor, Artificial life X, A Bradford book, pages 282- 288. MIT Press, Cambridge, Mass.
  8. Kim, D. and Möller, R. (2007). Biomimetic whiskers for shape recognition. Robotics and Autonomous Systems, 55(3):229-243.
  9. Pammer, L., O'Connor, D. H., Hires, S. A., Clack, N. G., Huber, D., Myers, E. W., and Svoboda, K. (2013). The mechanical variables underlying object localization along the axis of the whisker. The Journal of neuroscience : the official journal of the Society for Neuroscience, 33(16):6726-6741.
  10. Pearson, M. J., Mitchinson, B., Sullivan, J. C., Pipe, A. G., and Prescott, T. J. (2011). Biomimetic vibrissal sensing for robots. Philosophical Transactions of the Royal Society B: Biological Sciences, 366(1581):3085-3096.
  11. Prescott, T., Pearson, M., Mitchinson, B., Sullivan, J. C. W., and Pipe, A. (2009). Whisking with robots: From Rat Vibrissae to Biomimetic Technology for Active Touch. IEEE Robotics & Automation Magazine, 16(3):42-50.
  12. Scholz, G. R. and Rahn, C. D. (2004). Profile Sensing With an Actuated Whisker. IEEE Transactions on Robotics and Automation, 20(1):124-127.
  13. Steigenberger, J. (2013). A continuum model of passive vibrissae.
  14. Tuna, C., Solomon, J. H., Jones, D. L., and Hartmann, M. J. Z. (2012). Object shape recognition with artificial whiskers using tomographic reconstruction. In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pages 2537-2540, Piscataway, NJ. IEEE.
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Paper Citation


in Harvard Style

Will C., Steigenberger J. and Behn C. (2014). Object Contour Reconstruction using Bio-inspired Sensors . In Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO, ISBN 978-989-758-039-0, pages 459-467. DOI: 10.5220/0005018004590467


in Bibtex Style

@conference{icinco14,
author={Christoph Will and Joachim Steigenberger and Carsten Behn},
title={Object Contour Reconstruction using Bio-inspired Sensors},
booktitle={Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,},
year={2014},
pages={459-467},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0005018004590467},
isbn={978-989-758-039-0},
}


in EndNote Style

TY - CONF
JO - Proceedings of the 11th International Conference on Informatics in Control, Automation and Robotics - Volume 1: ICINCO,
TI - Object Contour Reconstruction using Bio-inspired Sensors
SN - 978-989-758-039-0
AU - Will C.
AU - Steigenberger J.
AU - Behn C.
PY - 2014
SP - 459
EP - 467
DO - 10.5220/0005018004590467