JRM Vol.17 No.5 pp. 584-595
doi: 10.20965/jrm.2005.p0584


Artificial Whiskers: Structural Characterization and Implications for Adaptive Robots

Hiroshi Yokoi*, Max Lungarella**, Miriam Fend***,
and Rolf Pfeifer***

*Department of Precision Engineering, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

**Department of Mechano-Informatics, University of Tokyo, 7-3-1 Hongo, Bunkyo-ku, Tokyo 113-8656, Japan

***Department of Information Technology, University of Zurich, 8006 Zurich, Switzerland

May 16, 2005
August 8, 2005
October 20, 2005
active whisking, whisker, artificial mouse, adaptive behavior, morphology
Whisking is an active exploratory process during which rodents sweep their macro vibrissae (whiskers) across surfaces to detect prominent environmental features (object location, surface textures, friction, and shapes). The resulting sensory stimulation is typically rich in both spatial and temporal structure, and is used to guide a host of adaptive behaviors. This article explores whisker systems as a sensory modality in rodents and robots with respect to their potential for adaptive behavior. To further our understanding of the role played by the morphology (shape and material properties) of whiskers, we present and discuss the results of simulations of conical and cylindrical whiskers. Our results show that for a given mass a conical whisker is (a) stiffer, (b) more selective for particular modes of vibration, and (c) more robust against fractures. We also describe the design and implementation of a bio-inspired active sensing system built with whiskers from real rats glued to capacitor microphones. Each whisker is capable of detecting very weak mechanical forces applied to its tip. Different resonance frequencies are induced in the whisker according to the object the whisker touches or is touched by. Our experimental results show that the interval of elicited frequencies ranges from approximately 230Hz to 3kHz. We suggest that this range of frequencies is particularly useful for discriminating textures with different spatial frequencies and other environmental features.
Cite this article as:
H. Yokoi, M. Lungarella, M. Fend, and R. Pfeifer, “Artificial Whiskers: Structural Characterization and Implications for Adaptive Robots,” J. Robot. Mechatron., Vol.17 No.5, pp. 584-595, 2005.
Data files:
  1. [1] R. Arkin, “Behavior-Based Robotics,” Cambridge, MA, MIT Press, 1998.
  2. [2] R. Bajcsy, “Active perception,” Proc. of the IEEE, Vol.76, No.8, pp. 996-1005, 1988.
  3. [3] D. Ballard, “Active vision,” Artificial Intelligence, Vol.48, No.1, pp. 57-86, 1992.
  4. [4] T. G. Barnes, T. Q. Truong, G. G. Adams, and N. E. McGruer, “Large deflection analysis of a biomimetic lobster robot antenna due to contact and flow,” ASME J. of Applied Mechanics, Vol.68, pp. 948-951, 2001.
  5. [5] R. W. Berg, and D. Kleinfeld, “Rhythmic whisking by rat: retraction as well as protraction of the vibrissae is under active muscular control,” J. of Neurophysiology, Vol.89, pp. 104-117, 2002.
  6. [6] V. Braitenberg, “Vehicles: Experiments in Synthetic Psychology,” Cambridge, MA, MIT Press, 1984.
  7. [7] M. Brecht, B. Preilowsky, and M. M. Merzenich, “Functional architecture of the mystacial vibrissae,” Behavioral Brain Research, Vol.84, pp. 81-97, 1997.
  8. [8] G. E. Carvell, and D. J. Simons, “Biometric analyses of vibrissal tactile discrimination in the rat,” J. of Neuroscience, Vol.10, No.8, pp. 2638-2648, 1990.
  9. [9] G. E. Carvell, and D. J. Simons, “Task- and subject-related differences in sensorimotor behavior during active touch,” Somat. Motor Research, Vol.12, pp. 1-9, 1995.
  10. [10] H. D. Conway, E. C. H. Becker, and J. F. Dubil, “Vibration frequencies of tapered bars and circular plates,” J. of Appl. Mech., Vol.31, pp. 329-331, 1964.
  11. [11] H.-E. Dechant, F. G. Rammerstorfer, and F. G. Barth, “Arthropod touch reception: stimulus transformation and finite element model of spider tactile hairs,” J. of Comp. Physiology, Vol.187, pp. 313-322, 2001.
  12. [12] G. B. Dehnhardt, B. Mauck, and H. Bleckmann, “Seal whiskers detect water movements,” Nature, Vol.394, pp. 235-236, 1998.
  13. [13] G. B. Dehnhardt, H. Hyvarinen, A. Palviainen, and G. Klauer, “Structure and innervation of vibrissal follicle-sinus complex in the Australian water rat, Hydromys chrysogaster,” J. Comp. Neurophysiology, Vol.11, pp. 550-562, 1999.
  14. [14] M. Fend, S. Bovet, H. Yokoi, and R. Pfeifer, “An active artificial whisker array for texture discrimination,” Proc. of 16th Int. Conf. on Intelligent Robots and Systems, pp. 1044-1049, 2003.
  15. [15] E. Guic-Robles, C. Valdivesco, and G. Guajardo, “Rats can learn a roughness discrimination using only their vibrissal system,” Behavioral Brain Research, Vol.31, pp. 285-289, 1989.
  16. [16] V. Hafner, M. Fend, K. Kording, and P. Konig, “Predicting properties of the rat somatosensory system by sparse coding,” Neural Information Processing Letters and Reviews, Vol.4, No.1, pp. 11-18, 2004.
  17. [17] M. J. Hartmann, “Active sensing capabilities of the rat whisker system,” Autonomous Robots, Vol.11, pp. 249-254, 2001.
  18. [18] M. J. Hartmann, N. J. Johnson, R. B. Towal, and C. Assad, “Mechanical characteristics of rat vibrissae: resonant frequencies and damping in isolated whiskers and in the awake behaving animal,” J. of Neuroscience, Vol.23, No.16, pp. 6510-6519, 2003.
  19. [19] H. Hirose, S. Inoue, and K. Yoneda, “The whisker sensor and the transmission of multiple sensor signals,” Advanced Robotics, Vol.4, No.2, pp.105-117, 1990.
  20. [20] E. G. Jones, and I. T. Diamond, (eds.) In: “Cerebral Cortex: The Barrel Cortex of Rodents,” New York, Plenum Press, 1995.
  21. [21] D. Jung, and A. Zelinsky, “Whisker-based mobile robot navigation,” Proc. of 9th Int. Conf. on Intelligent Robots and Systems, Vol.2, pp. 497-504, 1996.
  22. [22] M. Kaneko, and T. Tsuji, “A whisker tracing sensor with 5mm sensitivity,” Proc. of 15th Int. Conf. on Robotics and Automation, pp. 3908-3913, 2000.
  23. [23] M. Kaneko, N. Kanayama, and T. Tsuji, “Active antenna for contact sensing,” IEEE Trans. on Robotics and Automation, Vol.14, No.2, pp. 278-291, 1998.
  24. [24] T. Kawashima, H. Kaneko, H. Yokoi, S. S. Suzuki, and Y. Kakazu, “Low-invasive measuring technology for prosthetics: SOM-based data mining from a reactive signal in rat cranial dura mater,” Int. J. of Fuzzy Systems, Vol.4, No.3, pp. 752-758, 2002.
  25. [25] D. Kim, and R. Moller, “A biomimetic whisker for texture discrimination and distance estimation,” Proc. of 8th Int. Conf. on Simulation of Adaptive Behavior, pp. 140-149, 2004.
  26. [26] T. Kumagai, T. Shimozawa, and Y. Baba, “The shape of windreceptor hairs of cricket and cockroach,” J. of Comparative Physiology A, Vol.183, pp. 187-192, 1998.
  27. [27] A. G. Lamperski, O. Y. Loh, B. L. Kutscher, and N. J. Cowan, “Dynamical wall following for a wheeled robot using a passive tactile sensor,” Proc. of 20th Int. Conf. on Robotics and Automation, pp. 3849-3854, 2005.
  28. [28] P. Leyhausen, “Cat Behavior,” Garland STMP Press, New York, 1979.
  29. [29] S. J. Lederman, and R. L. Klatzky, “Extracting object properties through haptic exploration,” Acta Psychologica, Vol.84, No.1, pp. 29-40, 1993.
  30. [30] M. Lungarella, V. V. Hafner, R. Pfeifer, and H. Yokoi, “An artificial whisker sensor for robotics,” Proc. of 15th Int. Conf. on Intelligent Robots and Systems, pp. 2931-2936, 2002.
  31. [31] M. Lungarella, T. Pegors, D. Bulwinkle, and O. Sporns, “Methods for quantifying the information structure of sensory and motor data,” Neuroinformatics, Vol.5, pp. 77-97, 2005.
  32. [32] S. Mehta, and D. Kleinfeld, “Frisking the whiskers: patterned sensory input in the rat vibrissa system,” Neuron, Vol.41, pp. 181-184, 2004.
  33. [33] M. A. Neimark, M. L. Andermann, J. J. Hopfield, and C. I. Moore, “Vibrissa resonance as a transduction mechanism for tactile encoding,” J. of Neuroscience, Vol.23, pp. 6499-6509, 2003.
  34. [34] R. A. Russell, “Object recognition using articulated whisker probes,” Proc. of 15th Int. Symp. on Industrial Robots, pp. 605-612, 1985.
  35. [35] R. A. Russell, “Using tactile whiskers to measure surface contours,” Proc. of 7th Int. Conf. on Robotics and Automation, pp. 1295-1300, 1992.
  36. [36] E. N. Schiebel, H. R. Busby, and K. J. Waldron, “Design of a mechanical proximity sensor,” Robotica, Vol.4, pp. 221-227, 1986.
  37. [37] G. R. Scholz, and C. D. Rahn, “Profile sensing with an actuated whisker,” IEEE Trans. on Robotics and Automation, Vol.20, No.1, pp. 124-127, 2002.
  38. [38] A. E. Schultz, J. H. Solomon, M. A. Peshkin, and M. J. Hartmann, “Multifunctional whisker arrays for distance detection, terrain mapping, and object feature extraction,” Proc. of 20th Int. Conf. on Robotics and Automation, pp. 2599-2604, 2005.
  39. [39] A. K. Seth, J. L. McKinstry, G. M. Edelman, and J. L. Krichmar, “Texture discrimination by an autonomous mobile brain-based device with whiskers,” Proc. of 19th Int. Conf. on Robotics and Automation, pp. 4925-4930, 2004.
  40. [40] M. Shimojo, and M. Ishikawa, “An active touch sensing method using a spatial filtering tactile sensor,” Proc. of 8th Int. Conf. on Robotics and Automation, Vol.1, pp. 948-954, 1993.
  41. [41] R. F. Thompson, and W. A. Spencer, “Habituation: A model phenomenon for the study of neuronal substrates of behavior,” Psychological Review, Vol.73, pp. 16-43, 1996.
  42. [42] T. Tsujimura, and T. Yabuta, “Object detection by tactile sensing method employing force/torque information,” IEEE Trans. on Robotics and Automation, Vol.5, No.4, pp. 444-450, 1989.
  43. [43] N. Ueno, M. M. Svinin, and M. Kaneko, “Dynamic contact sensing by flexible beam,” IEEE/ASME Trans. on Mechatronics, Vol.3, No.4, pp. 254-264, 1998.
  44. [44] S. B. Vincent, “The function of the vibrissae in the behavior of the white rat,” Behavior Monographs, Vol.1, No.5, pp. 1-81, 1912.
  45. [45] J. A. Wijaya, and R. A. Russell, “Object exploration using whisker sensors,” Proc. of Australasian Conf. on Robotics and Automation, pp. 180-186, 2002.
  46. [46] M. A. Willis, and E. A. Arbas, “Centrally patterned behavior generates sensory input for adaptive control,” In: Neurons, Networks, and Motor Behavior, P.S.G. Stein, S. Grillner, A.I. Selverston, and D.G. Stuart (eds.), MIT Press, Cambridge, MA, pp. 269-275, 1997.
  47. [47] J. F. Wilson, and Z. Chen, “A whisker probe system for shape perception of solids,” ASME J. of Dynamic Systems, Measurement and Control, Vol.117, pp. 104-108, 1995.
  48. [48] L. E. Wineski, “Facial morphology and vibrissal movement in the golden hamster,” J. of Morphology, Vol.183, No.2, pp. 199-217, 1985.

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