From the octopus to soft robot control: An octopus inspired behaviour control architecture for soft robots

Vie et Milieu

Volumn 61, Issue 4, 2011, Pages 211-217

  Li, T ^a   Nakajima, K ^a   Kuba, M ^b   Gutnick, T ^b   Hochner, B ^b   Pfeifer, R ^a  

^a UNIVERSITY OF ZURICH   (Switzerland)

^b HEBREW UNIVERSITY OF JERUSALEM   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

ARCHITECTURAL DESIGN; BIOACTIVITY; BIOMECHANICS; BIOTECHNOLOGY; CEPHALOPOD; CONTROL SYSTEM; ROBOTICS; TECHNOLOGICAL DEVELOPMENT;

OCTOPUS;

EID: 84862884356     PISSN: 02408759     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (45)

1. Bekey GA 2005. Autonomous robots: from biological inspiration to implementation and control. Cambridge, Mass.: MIT Press.
2. Brooks RA 1991a. Intelligence without representation. Artif Intell 47(1-3): 139-159.
3. Brooks RA. 1991b. New approaches to robotics. Science 253(5025): 1227-1232.
4. Byrne RA, Kuba MJ, Meisel DV, Griebel U, Mather JA 2006. Octopus arm choice is strongly influenced by eye use. Behav Brain Res 172(2): 195-201. (Pubitemid 44164517)
5. Cabelguen JM, Bourcier-Lucas C, Dubuc R 2003. Bimodal locomotion elicited by electrical stimulation of the midbrain in the salamander Notophthalmus viridescens.J Neurosci 23(6): 2434-2439. (Pubitemid 36368932)
6. Delcomyn F 2004. Insect walking and robotics. Annu Rev Ento-mol 49(1): 51-70. (Pubitemid 38192416)
7. Edelman GM 2007. Learning in and from brain-based devices. Science 318(5853): 1103-1105. (Pubitemid 350134860)
8. Flash T, Hochner B 2005. Motor primitives in vertebrates and invertebrates. Curr Opin Neurobiol 15(6): 660-666. (Pubitemid 41682306)
9. Gutfreund Y, Flash T, Yarom Y, Fiorito G, Segev I, Hochner B 1996. Organization of octopus arm movements: a model system for studying the control of flexible arms. J Neurosci 16(22): 7297-7307. (Pubitemid 26382904)
10. Gutfreund Y 1998. Patterns of arm muscle activation involved in octopus reaching movements. J Neurosci 18(15): 5976-5987. (Pubitemid 28341372)
11. Gutfreund Y, Matzner H, Flash T, Hochner B 2006. Patterns of motor activity in the isolated nerve cord of the octopus arm. Biol Bull 211(3): 212-222. (Pubitemid 46047748)
12. Gutnick T, Byrne Ruth A, Hochner B, Kuba M 2011a. Octopus vulgaris uses visual information to determine the location of its arm. Curr Biol 21 (6): 460-462.
13. th Annual Meeting, Eilat, Dec. 12-14, 2010. www.isfn.org.il. J Mol Neurosci 45 (Suppl 1):S49.
14. Hochner B, Shomrat T, Fiorito G 2006. The octopus: a model for a comparative analysis of the evolution of learning and memory mechanisms. Biol Bull 210(3): 308-317.
15. Huffard CL 2006 Locomotion by Abdopus aculeatus (Cephalopoda: Octopodidae): walking the line between primary and secondary defenses. J Exp Biol 209: 3697-3707. (Pubitemid 44682334)
16. Hoffmann M, Marques H,Arieta A, Sumioka H, Lungarella M, Pfeifer R 2010. Body schema in robotics: a review. IEEE Trans Auton Ment Dev 2(4):304-324.
17. Ijspeert AJ, Crespi A, Ryczko D, Cabelguen J M 2007. From swimming to walking with a salamander robot driven by a spinal cord model. Science 315(5817): 1416-1420. (Pubitemid 46399551)
18. Jaeger H 2002. Tutorial on training recurrent neural networks, covering BPPT, RTRL, EKF and the "echo state network" approach. German Nation Res Center Info Technol Tech Rep No. 159.
19. Kang R, Kazakidi A, Guglielmino E, Branson DT, Tsakiris DP, Ekaterinaris JA, Caldwell DG 2011. Dynamic model of a hyperredundant, octopus-like manipulator for underwater applications. Conf Intelligent Robots Systems (IROS), 2011 IEEE/RSJ Inf. 4054-4059.
20. Lukosevicius M, Jaeger H 2009. Reservoir computing approaches to recurrent neural network training. Comput Sci Rev 3(3): 127-149.
21. MacKerrow PJ 1995. Introduction to robotics. Sydney: Addison-Wesley.
22. Mather JA 1998. How do octopuses use their arms? J Comp Psychol 112(3): 306-316. (Pubitemid 128492526)
23. th Int Conf Advanced Robotics (ICARII): 277-284.
24. Nakajima K, Li T, Kuppuswamy N, Pfeifer R. 2011b. How to harness the dynamics of soft body: timing based control of a simulated octopus arm via recurrent neural networks. Proce-dia Comput Sci 7(0): 246-247.
25. Nakajima K., Li T., Sumioka H., Cianchetti M., and Pfeifer R. 2011c. Information theoretic analysis on a soft robotic arm inspired by the octopus. Proc 2011 IEEE Int ConF Robotics Biomimetics (IEEE-ROBIO 2011): 110-117.
26. Nie X, Song B, Ge Y, Chen W, Weerasooriya T 2009. Dynamic tensile testing of soft materials. Exp Mech 49(4): 451-458.
27. Paul C, Lungarella M, Iida F 2006. Morphology, control and passive dynamics. RobAutom Syst 54(8): 617-618. (Pubitemid 44142954)
28. Pfeifer R, Scheier C 1999. Understanding intelligence. Cambridge, Mass.: MIT Press.
29. Pfeifer R, Bongard J 2006. How the body shapes the way we think: a new view of intelligence. Cambridge, Mass.: MIT Press.
30. Pfeifer R, Lungarella M, Iida F 2007. Self-organization, embodiment, and biologically inspired robotics. Science 318(5853): 1088-1093. (Pubitemid 350134861)
31. Pfeifer R, Gómez G 2009. Morphological computation- connecting brain, body, and environment. In Bernhard S, Edgar K, rner, Olaf S, Helge R, Kenji D eds. Creating Brain-Like Intelligence. Springer-Verlag: 66-83.
32. Sumbre G, Gutfreund Y, Fiorito G, Flash T, Hochner B 2001. Control of octopus arm extension by a peripheral motor program. Science 293(5536): 1845-1848. (Pubitemid 32845785)
33. Sumbre G, Fiorito G, Flash T, Hochner B 2005. Neurobiology: motor control of flexible octopus arms. Nature 433(7026): 595-596. (Pubitemid 40282984)
34. Sumbre G, Fiorito G, Flash T, Hochner B 2006. Octopuses use a human-like strategy to control precise point-to-point arm movements. Curr Biol 16(8): 767-772.
35. Trivedi D, Rahn CD, Kier WM, Walker ID 2008. Soft robotics: biological inspiration, state of the art, and future research. Appl Bionics Biomech 5(3): 99-117.
36. Webb B 2000. What does robotics offer animal behaviour? Anim Behav 60(5): 545-558.
37. Webb B 2001. Can robots make good models of biological behaviour? Behav Brain Sci 24(06): 1033-1050. (Pubitemid 35154176)
38. Webb B 2002. Robots in invertebrate neuroscience. Nature 417(6886): 359-363. (Pubitemid 34534724)
39. Wells MJ 1960. Proprioception and visual discrimination of orientation in octopus. J Exp Biol 37(3): 489-499.
40. Wells MJ 1964. Tactile discrimination of surface curvature and shape by the octopus. J Exp Biol 41(2): 433-445.
41. Wells MJ 1978. Octopus: Physiology and Behaviour of an Advanced Invertebrate. London; New York: Chapman and Hall.
42. Yekutieli Y, Sagiv-Zohar R, Aharonov R, Engel Y, Hochner B, Flash T 2005a. Dynamic model of the octopus arm. I. Biomechanics of the octopus reaching movement. J Neurophysiol 94(2): 1443-1458. (Pubitemid 41061378)
43. Yekutieli Y, Sagiv-Zohar R, Hochner B, Flash T 2005b. Dynamic model of the octopus arm. II. Control of reaching movements. J Neurophysiol 94(2): 1459-1468. (Pubitemid 41061379)
44. Young JZ 1963. The number and sizes of nerve cells in octopus. Proc Zool Soc 140(2):229-254.
45. Young JZ 1971. The Anatomy of the Nervous System of Octopus vulgaris. Oxford: Clarendon Press.