journal article·2009-03-01

Design of a biomimetic robotic octopus arm

C Laschi, B Mazzolai, V Mattoli, M Cianchetti, P Dario

Bioinspiration & Biomimetics· Volume 4· Issue 1
Publisher page

Abstract

This paper reports the rationale and design of a robotic arm, as inspired by an octopus arm. The octopus arm shows peculiar features, such as the ability to bend in all directions, to produce fast elongations, and to vary its stiffness. The octopus achieves these unique motor skills, thanks to its peculiar muscular structure, named muscular hydrostat. Different muscles arranged on orthogonal planes generate an antagonistic action on each other in the muscular hydrostat, which does not change its volume during muscle contractions, and allow bending and elongation of the arm and stiffness variation. By drawing inspiration from natural skills of octopus, and by analysing the geometry and mechanics of the muscular structure of its arm, we propose the design of a robot arm consisting of an artificial muscular hydrostat structure, which is completely soft and compliant, but also able to stiffen. In this paper, we discuss the design criteria of the robotic arm and how this design and the special arrangement of its muscular structure may bring the building of a robotic arm into being, by showing the results obtained by mathematical models and prototypical mock-ups.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Soft Robotics and Applications · Robot Manipulation and Learning · Cephalopods and Marine Biology

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

References (25)

Show source-provided references
1. Bar-Cohen Y · Electro Active Polymers (EAP) as Artificial Muscles: Reality Potential and Challenges · 200410.1117/3.547465 ↗
2. 10.1016/0379-6779(96)80158-510.1016/0379-6779(96)80158-5 ↗
3. 10.1016/S0924-4247(01)00496-410.1016/S0924-4247(01)00496-4 ↗
4. 10.1109/70.48175310.1109/70.481753 ↗
5. Funakubo H · Shape Memory Alloys · 1987
6. 10.1152/jn.00645.200310.1152/jn.00645.2003 ↗
7. 10.2307/413456710.2307/4134567 ↗
8. 10.1109/TRO.2005.86145810.1109/TRO.2005.861458 ↗
9. Kier W · Mollusca · 1988 · II · 211
10. 10.1111/j.1096-3642.1985.tb01178.x10.1111/j.1096-3642.1985.tb01178.x ↗
11. 10.1016/S0032-3861(01)00648-610.1016/S0032-3861(01)00648-6 ↗
12. Kingsley D Quinn R Ritzmann R · Int. Symp. on Adaptive Motion of Animals and Machines · 2003
13. Laschi C Mazzolai B Mattoli V Cianchetti M Dario P · 11th Int. Symp. on Experimental Robotics · 2009
14. 10.1063/1.37094110.1063/1.370941 ↗
15. 10.1109/JOE.2004.83313510.1109/JOE.2004.833135 ↗
16. Mazzolai B Laschi C Cianchetti M Patanè F Bassi Luciani L Izzo I Dario P · IEEE EMBS Int. Conf. · 2007
17. O'Halloran A · Topics in Bio-Mechanical Engineering · 2004 · 184
18. Pelrine R Kornbluh R Pei Q Stanford S Oh S Eckerle J · Proc. SPIE · 2002 · 4695 · 12610.1117/12.475157 ↗
19. 10.1002/047009199110.1002/0470091991 ↗
20. 10.1152/jn.00383.200210.1152/jn.00383.2002 ↗
21. Simaan N · IEEE Int. Conf. Robot. Autom. (Barcelona, Spain) · 2005 · 3023
22. Smith K K · Am. Sci. · 1989 · 77 · 28
23. 10.1126/science.106097610.1126/science.1060976 ↗
24. Tsukagoshi H Kitagawa A Segawa M · IEEE Int. Conf. Robot. Autom. · 2001 · 2 · 1622
25. Walker I Dawson D Flash T Grasso F Hanlon R Hochner B Kier W Pagano C Rahn C Zhang Q · SPIE Int. Society for Optical Engineering Defense and Security Symp. · 2005