Abstract
Muscle-like actuators can be composed by connecting together individual contractile modules in a variety of configurations. This chapter shows that by including more or fewer modules and varying how they are connected the designer can tailor the configuration to the application in precise ways and produce actuators in a range of form factors. As more of the units are recruited, or brought into the active state, the muscle-like actuator contracts, imparting motion to the robot. New algorithms are needed to determine how best to recruit, and these algorithms must consider the system dynamics of the muscle-like actuator, which will depend on how they are configured, unlike traditional actuators which are easily modeled by linear filters.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Notes
- 1.
I first recall hearing this point in a lecture at Vanderbilt University given by Michael Goldfarb; I do not recall seeing it stated explicitly in an extant work.
- 2.
As skeletal muscles can only contract in response to a stimulus and not extend, the term “contraction” is commonly used for muscle-like actuators, even though not all underlying technologies necessarily have this limitation. Due to the biological inspiration, many are contractile only in the final implementation and must be used antagonistically.
- 3.
One advantage of muscle-like actuators composed of discrete units is that “muscles” can be created containing both mono-articular and poly-articular “heads”, as with human skeletal muscle, but this will not be discussed in this work.
References
Bryant, M., Meller, M., & Garcia, E. (2014). Variable recruitment fluidic artificial muscles: Modeling and experiments. Smart Materials and Structures, 23(7), 074009. https://doi.org/10.1088/0964-1726/23/7/074009.
Chou, C.-P., & Hannaford, B. (1996). Measurement and modeling of McKibben pneumatic artificial muscles. IEEE Transactions on Robotics and Automation, 12(1), 90–102.
Davis, S., & Caldwell, D. G. (2011). Biologically inspired damage tolerance in braided pneumatic muscle actuators. Journal of Intelligent Material Systems and Structures, 23(3), 313–325. https://doi.org/10.1177/1045389X11422106.
Du, X., Dixon, R., Goodall, R. M. M., Zolotas, A. C., & Zolotas, A. C. (2010). Modelling and control of a high redundancy actuator. Mechatronics, 20(1), 102–112. https://doi.org/10.1016/j.mechatronics.2009.09.009.
Ebrahimi, N., Nugroho, S., Taha, A. F., Gatsis, N., Gao, W., & Jafari, A. (2018). Dynamic actuator selection and robust state-feedback control of networked soft actuators. Proceedings of the 2018 International Conference on Robotics and Automation, 2857–2864. Brisbane.
Edström, L., & Kugelberg, E. (1968). Histochemical composition, distribution of fibres and fatiguability of single motor units. Anterior tibial muscle of the rat. Journal of Neurology, Neurosurgery, and Psychiatry, 31(5), 424–433.
Fuller, C., & Schultz, J. (2018). Characterization of control-dependent variable stiffness behavior in discrete muscle-like actuators. Applied Sciences (Switzerland), 8(3). https://doi.org/10.3390/app8030346.
Hogan, N. (1984). Adaptive control of mechanical impedance by coactivation of antagonist muscles. IEEE Transactions on Automatic Control, 29(8), 681–690. https://doi.org/10.1109/TAC.1984.1103644.
Huston, D., Esser, B., & Werner, M. (2002). Hierarchical actuators. Proceedings of the First World Congress on Biomimetics and Artificial Muscles. Albuquerque.
Huston, D., Esser, B., Spencer, G., Burns, D., & Kahn, E. (2005). Hierarchical actuator systems. Proceedings of SPIE, 5762, 311–319. https://doi.org/10.1117/12.607220.
Kianzad, S., Pandit, M., Lewis, J. D., Berlingeri, A. R., Haebler, K. J., & Madden, J. D. W. (2015). Variable stiffness structure using nylon actuators arranged in a pennate muscle configuration. SPIE Smart Structures and Materials+ Nondestructive Evaluation and Health Monitoring, (604), 94301Z--94301Z. https://doi.org/10.1117/12.2086799.
MacNair, D. L., & Ueda, J. (2011). A fingerprint method for variability and robustness analysis of stochastically controlled cellular actuator arrays. the International Journal of Robotics Research, 30(5), 536–555. https://doi.org/10.1177/0278364910397678.
Madden, J. D. W. D. W., Vandesteeg, N., & A., Anquetil, P. A., Madden, P. G. A., Takshi, A., Pytel, R. Z. Z., … Hunter, I. W. W. (2004). Artificial muscle technology: Physical principles and naval prospects. IEEE Journal of Oceanic Engineering, 29(3), 706–728. https://doi.org/10.1109/JOE.2004.833135.
Mathijssen, G., Schultz, J., Vanderborght, B., & Bicchi, A. (2015). A muscle-like recruitment actuator with modular redundant actuation units for soft robotics. Robotics and Autonomous Systems, 74 Part A, 40–50. https://doi.org/10.1016/j.robot.2015.06.010.
Mathijssen, G., Furnémont, R., Saraens, E., Lefeber, D., & Vanderborght, B. (2017). Discrete binary muscle-inspired actuation with motor unit overpowering and binary control strategy. IEEE /RSJ Intelligent Robots and Systems Conference, 2128–2134. Vancouver, Canada.
Schultz, J., & Ueda, J. (2012). Experimental verification of discrete switching vibration suppression. Mechatronics, IEEE/ASME Transactions on, 17(2), 298–308.
Schultz, J., & Ueda, J. (2013). Nested piezoelectric cellular actuators for a biologically inspired camera positioning mechanism. IEEE Transactions on Robotics, 29(5), 1125–1138. https://doi.org/10.1109/TRO.2013.2264863.
Secord, T. W., & Asada, H. H. (2010). A variable stiffness actuator having tunable resonant frequencies. IEEE Transactions on Robotics, 26(6), 993–1005.
Ueda, J., Odhner, L., & Asada, H. H. (2007). Broadcast feedback for stochastic cellular actuator systems consisting of Nonuniform actuator units. Proceedings of 2007 IEEE International Conference on Robotics and Automation (ICRA ’07), 642–647. https://doi.org/10.1109/ROBOT.2007.363059.
Ueda, J., Schultz, J. A., & Asada, H. H. (2017). Cellular actuators: Modularity and variability in muscle-inspired actuation (1st ed.). Cambridge, MA: Elsevier.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2021 Springer Nature Switzerland AG
About this chapter
Cite this chapter
Schultz, J. (2021). Muscle-Like Actuators and Their System Dynamics. In: Beckerle, P., Sharbafi, M.A., Verstraten, T., Pott, P.P., Seyfarth, A. (eds) Novel Bioinspired Actuator Designs for Robotics. Studies in Computational Intelligence, vol 888. Springer, Cham. https://doi.org/10.1007/978-3-030-40886-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-030-40886-2_7
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-030-40885-5
Online ISBN: 978-3-030-40886-2
eBook Packages: Intelligent Technologies and RoboticsIntelligent Technologies and Robotics (R0)