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IC implementation of an interstitial cell-based CPG model

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Abstract

It is well known that quadruped locomotion patterns are generated by central pattern generators (CPGs) residing within central nervous system interstitial cells. Based on this fact, many investigators have used CPG models to develop control adaptations in robots. Previously, the authors proposed a CPG model that generates and controls quadruped locomotion through single-pulse external inputs. However, in this model, a large capacitance was necessary for generating 1–10 Hz robot control patterns. In this paper, we suggest a CPG model in which swing and stance patterns produced by interstitial cells generate low-frequency patterns through a low-capacitance 0.18 μm CMOS process. It is demonstrated that this model method can generate five basic quadruped locomotion patterns (walk, pace, trot, bound, and gallop) at a frequency suitable for controlling a quadruped locomotion robot.

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References

  1. Takakusaki, K., & Okumura, T. (2008). Neurobiological basis of controlling posture and locomotion. RSJ Advanced Robotics, 22(15), 1629–1663.

    Article  Google Scholar 

  2. Pridmore, P. A. (1992). Trunk movements during locomotion in the marsupial monodelphis domestica (didelphidae). Journal of Morphology, 211(2), 137–146.

    Article  Google Scholar 

  3. Hoyt, D. F., & Taylor, C. R. (1981). Gait and the energetics of locomotion in horses. Nature, 292(16), 239–240.

    Article  Google Scholar 

  4. Kharb, A., Saini, V., Jain, Y. K., & Dhiman, S. (2011). A review of gait cycle and its parameters. IJCEM International Journal of Computational Engineering & Management, 13, 78–83.

    Google Scholar 

  5. Matsuoka, K. (1985). Sustained oscillations generated by mutually inhibiting neurons with adaptation. Biological Cybernetics, 52(6), 367–376.

    Article  MATH  MathSciNet  Google Scholar 

  6. Taga, G. (1995). A model of the neuro-musculo-skeletal system for human locomotion. Biological Cybernetics, 73(2), 97–111.

    Article  MATH  Google Scholar 

  7. Ito, S., Yuasa, H., & Ito, K. (1996). Oscillator-mechanical model of the pattern transition on quadrupedal locomotion based on energy expenditure. Transactions of the Society of Instrument and Control Engineers, 32(11), 1535–1543.

    Article  Google Scholar 

  8. Fukuoka, Y., & Kimura, H. (2007). Biologically inspired adaptive dynamic walking of a quadruped on irregular terrain-realization of walking in outdoor environment using a self-contained robot: “Tekken2. JRSJ, 25(1), 138–154.

    Article  Google Scholar 

  9. Takemura, H., Ueda, J., Matsumoto, Y., & Ogasawara, T. (2004). Three dimensional adaptive walking of quadruped robot using sideways sway motion and posture reflex via neural oscillators. JRSJ, 22(4), 528–534.

    Article  Google Scholar 

  10. Nakada, K., Asai, T., & Amemiya, Y. (2004). Analog CMOS implementation of coupled neural oscillators for developing a robot locomotion controller-an analog current-mode CMOS circuit for coupled neural oscillators operating in subthreshold region. IEICE Transaction on NLP, 104(472), 1–6.

    Google Scholar 

  11. Nakada, K., Asai, T., Hirose, T., & Amemiya, Y. (2005). Analog current-mode CMOS implementation of central pattern generator for robot locomotion. IJCNN, 1, 639–644.

    Google Scholar 

  12. Nakada, K., Asai, T., & Amemiya, Y. (2005). Analog CMOS implementation of a cnn-based locomotion controller with floating-gate devices. IEEE Transaction on Circuits and Systems, 52(6), 1095–1103.

    Article  Google Scholar 

  13. Hasan, SMR., Xu WL. (2007). Low-Voltage analog current-mode central pattern generator circuit for robotic chewing locomotion using 130 nm CMOS technology, ICM International Conference on, Microelectronics, (pp.155–160)

  14. Arena, P., Fortuna, L., Frasca, M., Patane, L., Pollino M. (2006) An autonomous mini-hexapod robot controlled through a CNN-based CPG VLSI chip, CNNA International Workshop on, Cellular Neural Networks and Their Applications, (pp. 1–6)

  15. Kier, R. J., Ames, J. C., Beer, R. D., & Harrison, R. R. (2006). Design and implementation of multi-pattern generators in analog VLSI. IEEE Transaction on Neural Networks, 17(4), 1025–1038.

    Article  Google Scholar 

  16. Yang, Z., Cameron, K., Lewinger, W., Webb, B., & Murray, A. (2012). Neuromorphic Control of Stepping Pattern Generation: a Dynamic Model with Analog Circuit Implementation, IEEE Trans. Neural Networks and Learning Systems, 23(3), 373–384.

    Article  Google Scholar 

  17. Saeki, K., & Sekine, Y. (2008). CMOS implementation of a pulse-type hardware neuron model and its application. IEICE Transactions of Fundamentals, 15(1), 27–38.

    Google Scholar 

  18. Saeki, K., Tatebe, T., Sekine, Y. (2005). A study on A pulse-type hardware neuron model using CMOS, IEEJ Technical Meeting on Electronic circuits, ECT-5-79, (pp. 41–44)

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Acknowledgments

This work has been supported in part by the MEXT Grant-in-Aid #25420344 and STARC. Furthermore, this work has been supported in part by the VLSI Design and Education Center (VDEC), the University of Tokyo in collaboration with Cadence Design Systems, Inc.

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Correspondence to Katsutoshi Saeki.

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Saeki, K., Nihei, D., Tatebe, T. et al. IC implementation of an interstitial cell-based CPG model. Analog Integr Circ Sig Process 81, 551–559 (2014). https://doi.org/10.1007/s10470-014-0349-2

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  • DOI: https://doi.org/10.1007/s10470-014-0349-2

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