The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Dynamic Model of the Octopus Arm. I. Biomechanics of the Octopus Reaching Movement
Abstract
The octopus arm requires special motor control schemes because it consists almost entirely of muscles and lacks a rigid skeletal support. Here we present a 2D dynamic model of the octopus arm to explore possible strategies of movement control in this muscular hydrostat. The arm is modeled as a multisegment structure, each segment containing longitudinal and transverse muscles and maintaining a constant volume, a prominent feature of muscular hydrostats. The input to the model is the degree of activation of each of its muscles. The model includes the external forces of gravity, buoyancy, and water drag forces (experimentally estimated here). It also includes the internal forces generated by the arm muscles and the forces responsible for maintaining a constant volume. Using this dynamic model to investigate the octopus reaching movement and to explore the mechanisms of bend propagation that characterize this movement, we found the following. 1) A simple command producing a wave of muscle activation moving at a constant velocity is sufficient to replicate the natural reaching movements with similar kinematic features. 2) The biomechanical mechanism that produces the reaching movement is a stiffening wave of muscle contraction that pushes a bend forward along the arm. 3) The perpendicular drag coefficient for an octopus arm is nearly 50 times larger than the tangential drag coefficient. During a reaching movement, only a small portion of the arm is oriented perpendicular to the direction of movement, thus minimizing the drag force.
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Cites
The coordination of arm movements: an experimentally confirmed mathematical model
Flash, T., & Hogan, N. (1985) · The Journal of Neuroscience · doi:10.1523/jneurosci.05-07-01688.1985 · Cited by 4,395
Self-citationTongues, Tentacles and Trunks: the Biomechanics of Movement in Muscular-Hydrostats
KIER, W. M., & SMITH, K. K. (1985) · Zoological Journal of the Linnean Society · doi:10.1111/j.1096-3642.1985.tb01178.x · Cited by 910
Milligan, B. J., Curtin, N. A., & Bone, Q. (1997) · Journal of Experimental Biology · doi:10.1242/jeb.200.18.2425 · Cited by 45
Cited by
Design, fabrication and control of soft robots
Rus, D., & Tolley, M. T. (2015) · Nature · doi:10.1038/nature14543 · Cited by 5,825
Motor primitives in vertebrates and invertebrates
Flash, T., & Hochner, B. (2005) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2005.10.011 · Cited by 508
Self-citationThe Arrangement and Function of octopus Arm Musculature and Connective Tissue
Kier, W. M., & Stella, M. P. (2007) · Journal of Morphology · doi:10.1002/jmor.10548 · Cited by 184
A soft body as a reservoir: case studies in a dynamic model of octopus-inspired soft robotic arm
Nakajima, K., Hauser, H., Kang, R., Guglielmino, E., Caldwell, D. G., & Pfeifer, R. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00091 · Cited by 180
Evolving large-scale neural networks for vision-based reinforcement learning
Koutník, J., Cuccu, G., Schmidhuber, J., & Gomez, F. (2013) · Proceedings of the 15th annual conference on Genetic and evolutionary computation · doi:10.1145/2463372.2463509 · Cited by 130
Metadata
- Authors
- Yekutieli, Y., Sagiv-Zohar, R., Aharonov, R., Engel, Y., Hochner, B., & Flash, T.
- Venue
- Journal of Neurophysiology
- Publisher
- American Physiological Society
- Published
- 2005-08
- Volume
- 94
- Issue
- 2
- Pages
- 1443-1458
- ISSN
- 0022-3077 (ISSN-L)
- 1522-1598
- OpenAlex
- W2011562875
- Cited by
- 222
- References
- 3
- FWCI
- 7.05
- Type
- journal article
- Language
- en
- Open access
- closed
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