journal article·2023-03

Bioinspired Continuum Robots with Programmable Stiffness by Harnessing Phase Change Materials

Jie Zhang, Bo Wang, Haohan Chen, Jianing Bai, Zhigang Wu, Ji Liu, Haijun Peng, Jianing Wu

Advanced Materials Technologies· Volume 8· Issue 6
Publisher page

Abstract

Abstract Continuum robots offer significant advantages over traditional ones in some specific scenarios, such as urban search and rescue, minimally invasive surgery, and inspection of cluttered environments. However, motions and/or operations of existing continuum robots always suffer from those limitations in varying curvature interaction scenarios because of the homogeneity and singleness of the structural stiffness. Herein, inspired by the mechanism of an elephant trunk for regulating local stiffness, a three‐segment continuum robot constructed by tensegrity structure, which relies on a stiffness tunable material, with its Young's modulus switchable between 1.79 and 271.62 MPa to achieve the robotic stiffness programmable characteristics, is proposed. For predicting the robotic configuration with varying stiffness distribution, a mechanical model based on the framework of the finite element method is derived. Theoretical predictions reveal that the curvature of each segment can be regulated by programming stiffness of the smart materials; therefore, the customizable design can offer an effective route for real‐time robotic interactions. By evaluating motion characteristics, stiffness performance, and conformal interaction capability, the experimental results demonstrate that the robot can freely regulate the configuration on‐demand, which may provide a foundation for the application of continuum robots with programmable stiffness for interacting with unstructured environments.
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Soft Robotics and Applications · Modular Robots and Swarm Intelligence · Advanced Materials and Mechanics

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

Affiliations

School of Aeronautics and Astronautics Sun Yat‐Sen University Shenzhen 518107 P. R. China

Department of Mechanical and Energy Engineering Southern University of Science and Technology Shenzhen 518055 China

Shenzhen Key Laboratory of Biomimetic Robotics and Intelligent Systems Department of Mechanical and Energy Engineering Southern University of Science and Technology Shenzhen 518055 China

Guangdong Provincial Key Laboratory of Human‐Augmentation and Rehabilitation Robotics in Universities Southern University of Science and Technology Shenzhen 518055 China

School of Mechanical Engineering Dalian University of Technology Dalian 116024 P. R. China

School of Advanced Manufacturing Sun Yat‐Sen University Shenzhen 518107 P. R. China

Funding

National Natural Science Foundation of China

References (39)

Show source-provided references
1. 10.1038/nature1454310.1038/nature14543 ↗
2. 10.1109/LRA.2021.305892510.1109/LRA.2021.3058925 ↗
3. 10.1089/soro.2014.000810.1089/soro.2014.0008 ↗
4. 10.1023/A:102448461519210.1023/A:1024484615192 ↗
5. 10.1126/scirobotics.aax732910.1126/scirobotics.aax7329 ↗
6. 10.1016/j.paerosci.2015.11.00110.1016/j.paerosci.2015.11.001 ↗
7. 10.1089/soro.2013.000210.1089/soro.2013.0002 ↗
8. 10.1089/soro.2020.017010.1089/soro.2020.0170 ↗
9. 10.1177/027836491989345110.1177/0278364919893451 ↗
10. 10.1109/LRA.2021.309138410.1109/LRA.2021.3091384 ↗
11. 10.1109/TIE.2021.312564610.1109/TIE.2021.3125646 ↗
12. 10.1109/LRA.2020.301518510.1109/LRA.2020.3015185 ↗
13. 10.1186/s10033-019-0427-610.1186/s10033-019-0427-6 ↗
14. 10.3389/frobt.2021.77425310.3389/frobt.2021.774253 ↗
15. 10.1109/LRA.2022.316654710.1109/LRA.2022.3166547 ↗
16. 10.1007/s11071-021-06927-w10.1007/s11071-021-06927-w ↗
17. Guan Q. · Soft Rob. · 2020
18. 10.1073/pnas.212256311910.1073/pnas.2122563119 ↗
19. 10.1098/rsif.2018.037710.1098/rsif.2018.0377 ↗
20. 10.1016/j.cub.2021.09.08010.1016/j.cub.2021.09.080 ↗
21. 10.1177/027836492091392910.1177/0278364920913929 ↗
22. 10.1073/pnas.100325010710.1073/pnas.1003250107 ↗
23. 10.1016/j.medengphy.2013.10.01510.1016/j.medengphy.2013.10.015 ↗
24. 10.1002/admt.20210001810.1002/admt.202100018 ↗
25. 10.1002/aisy.20200016610.1002/aisy.202000166 ↗
26. 10.1002/adfm.20210766210.1002/adfm.202107662 ↗
27. 10.1089/soro.2020.014310.1089/soro.2020.0143 ↗
28. 10.1109/LRA.2022.314290710.1109/LRA.2022.3142907 ↗
29. 10.1016/j.cub.2021.08.02910.1016/j.cub.2021.08.029 ↗
30. 10.1016/j.compstruct.2017.12.05010.1016/j.compstruct.2017.12.050 ↗
31. 10.1109/LRA.2020.298562010.1109/LRA.2020.2985620 ↗
32. 10.1177/027836491036814710.1177/0278364910368147 ↗
33. 10.1002/adma.20160258010.1002/adma.201602580 ↗
34. 10.1002/adfm.20220194210.1002/adfm.202201942 ↗
35. 10.1089/soro.2019.009110.1089/soro.2019.0091 ↗
36. C.Della Santina R. K.Katzschmann A.Biechi D.Rus 2018 IEEE International Conference on Soft Robotics (RoboSoft) IEEE 2018 pp.46–53.10.1109/ROBOSOFT.2018.8404895 ↗
37. 10.1109/LRA.2022.315522510.1109/LRA.2022.3155225 ↗
38. 10.1002/adfm.20220324110.1002/adfm.202203241 ↗
39. 10.1002/adma.20160532510.1002/adma.201605325 ↗