Modeling and motion control of an octopus-like flexible manipulator actuated by shape memory alloy wires
Source abstract
Abstract
Soft robots are concerned by researchers due to several characteristics, such as high adaptability in complex unstructured environments, safe interaction with environments, and a high degree of dexterity. The deformability and dexterity of the octopus arm are remarkable and interesting for the development of bioinspiration soft robots. In this study, we proposed a biomimetic flexible manipulator actuated by shape memory alloy (SMA) wires and its PI controller, and evaluated its performances with focused experiments. This study aims to find out the advantages of the developed manipulator actuated by SMA wires. We designed the bionic structure to achieve flexible bending in 3D space based on the analysis of the octopus muscle structure. Then we built the mathematical models that described the relationship between the bending angle and the driving parameters. Surprisingly, the soft movement capacity of the bionic manipulator was investigated at different heating voltages and PWM duty cycles by the PI controller based on the self-sensing resistance feedback. The soft manipulator was able to bend flexibly with the maximum bending angle of 60°. Compared to the traditional soft arm, the soft manipulator has higher accuracy, with the error of the deflection angle less than 5° and the errors of bending angles less than 2°.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Soft Robotics and Applications · Robot Manipulation and Learning · Micro and Nano Robotics
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
College of Mechanical and Electrical Engineering, Northeast Forestry University, Harbin, Heilongjiang, China
Funding
national college students innovation and entrepreneurship training program · natural science foundation of heilongjiang province · fundamental research funds for the central universities · national natural science foundation of china
References (23)
Show source-provided references
1. Barbara M · Advanced Intelligent Systems · 2019 · 1 · 1
2. Bionic Handling Assistant, FESTO. viewed 15 April 2010. https://www.festo.com/group/en/cms/10241.htm
3. 10.1002/adfm.20130328810.1002/adfm.201303288 ↗
4. 10.1109/BIOROB.2010.562595910.1109/BIOROB.2010.5625959 ↗
5. 10.1088/1748-3182/6/3/03600210.1088/1748-3182/6/3/036002 ↗
6. Chris R · 2006
7. Cianchetti M · Bioinspiration & Biomimetics · 2019 · 10 · 2015
8. 10.1088/1748-3190/10/3/03500610.1088/1748-3190/10/3/035006 ↗
9. 10.1088/1748-3190/10/3/03500210.1088/1748-3190/10/3/035002 ↗
10. Kazuyuki I · Artificial Life and Robotics · 2019 · 25 · 167
11. 10.1109/FUZZY.2011.600754210.1109/FUZZY.2011.6007542 ↗
12. 10.1002/jmor.1054810.1002/jmor.10548 ↗
13. 10.1016/j.tibtech.2013.03.00210.1016/j.tibtech.2013.03.002 ↗
14. 10.1126/scirobotics.aah369010.1126/scirobotics.aah3690 ↗
15. 10.1109/ACCESS.2019.295354610.1109/ACCESS.2019.2953546 ↗
16. 10.1109/87.89674510.1109/87.896745 ↗
17. 10.3390/act303022610.3390/act3030226 ↗
18. McMahan W · 2006 · 2336
19. 10.1038/nature1454310.1038/nature14543 ↗
20. Tanaka K · Res Mechanica · 1986 · 18 · 251
21. 10.1088/1748-3190/ab162110.1088/1748-3190/ab1621 ↗
22. 10.3901/JME.2018.15.00110.3901/JME.2018.15.001 ↗
23. 10.1109/TIE.2018.287200510.1109/TIE.2018.2872005 ↗