journal article·2025-10Open access

A Reconfigurable Soft Actuator with Tunable Deformation and Stiffness

Zhiwen Song, Cunxiang Wei, Zichao Wang, Bozhen Liu, Xuegang Zhang, Yongxin Song

Advanced Materials Technologies· Volume 10· Issue 19

Abstract

Abstract Currently, it is challenging for a soft actuator to simultaneously achieve tunable deformation and maintain high load capacity. To address this issue, this paper presents a reconfigurable soft actuator with tunable deformation and stiffness (RATDS). The soft actuator consists of a skeleton and a thermoplastic polyurethane (TPU) skin. The skeleton is composed of two shapes of cavity units with particles filled and a polyethylene terephthalate (PET) sheet. It can realize various deformations with different assembly models of the cavity units under vacuum pressure. Stiffness variation is achieved by increasing vacuum pressure, causing the cavities to shrink and leading to particle jamming. The convenient manufacturing and assembly methods are demonstrated. The finite element analysis (FEA) simulations and experiments show that the actuator's deformation can transition from 2D bending to 3D twisting and multi‐direction deformation with different assembly models, respectively. Durability experiments confirm its functionality even after 5000 cycles. The actuator exhibits fast response time (0.35 s) excellent stiffness enhancement (from 0.019 N mm−1 (0 kPa) to 0.219 N mm−1(−40 kPa)) and good tip force (averaging 3.85 N). Furthermore, it shows good grasping capabilities (maximum loads 2110 g (three‐finger gripper) and 700 g (single‐finger gripper)) and crawling capability (10.7 mm s−1).
Source: crossref · Quality: baseline

Research context

OpenAlex topics: Soft Robotics and Applications · Advanced Materials and Mechanics · Advanced Sensor and Energy Harvesting Materials

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

Affiliations

Marine Engineering College Dalian Maritime University Dalian 116026 China

Laboratory of Science and Technology on Underwater Test and Control Dalian 116013 China

Dalian Scientific Test and Control Technology Institute Dalian 116013 China

Funding

National Natural Science Foundation of China

References (53)

Show source-provided references
1. 10.1002/aisy.20200012810.1002/aisy.202000128 ↗
2. 10.1002/aisy.20240003710.1002/aisy.202400037 ↗
3. 10.1109/TMECH.2019.291199210.1109/TMECH.2019.2911992 ↗
4. 10.1002/admt.20200034110.1002/admt.202000341 ↗
5. 10.1002/aisy.20200025710.1002/aisy.202000257 ↗
6. 10.1016/j.matpr.2022.06.57610.1016/j.matpr.2022.06.576 ↗
7. 10.1109/LRA.2021.313750410.1109/LRA.2021.3137504 ↗
8. 10.1016/j.sna.2025.11625310.1016/j.sna.2025.116253 ↗
9. 10.1080/17452759.2020.179520910.1080/17452759.2020.1795209 ↗
10. 10.1089/soro.2021.017910.1089/soro.2021.0179 ↗
11. 10.1109/TIE.2024.337963210.1109/TIE.2024.3379632 ↗
12. 10.1089/soro.2021.018510.1089/soro.2021.0185 ↗
13. 10.1126/sciadv.abh202210.1126/sciadv.abh2022 ↗
14. 10.1089/soro.2019.001510.1089/soro.2019.0015 ↗
15. 10.1089/soro.2022.021210.1089/soro.2022.0212 ↗
16. 10.1126/scirobotics.adg379210.1126/scirobotics.adg3792 ↗
17. 10.1038/s41467-023-39980-710.1038/s41467-023-39980-7 ↗
18. 10.34133/cbsystems.010310.34133/cbsystems.0103 ↗
19. 10.1002/adma.20230206610.1002/adma.202302066 ↗
20. 10.1126/sciadv.adk866210.1126/sciadv.adk8662 ↗
21. 10.1073/pnas.171345011410.1073/pnas.1713450114 ↗
22. 10.3389/frobt.2021.60693810.3389/frobt.2021.606938 ↗
23. 10.1126/scirobotics.adh785210.1126/scirobotics.adh7852 ↗
24. 10.1089/soro.2022.007710.1089/soro.2022.0077 ↗
25. Y.Toshimitsu K. W.Wong T.Buchner R.Katzschmann In 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) IEEE Prague Czech Republic 2021 pp.653–660.10.1109/IROS51168.2021.9636539 ↗
26. 10.1089/soro.2022.016610.1089/soro.2022.0166 ↗
27. 10.1002/adfm.20241427910.1002/adfm.202414279 ↗
28. 10.1126/scirobotics.adl030710.1126/scirobotics.adl0307 ↗
29. 10.1089/soro.2021.017910.1089/soro.2021.0179 ↗
30. 10.1016/j.sna.2024.11572310.1016/j.sna.2024.115723 ↗
31. 10.1177/027836492090990510.1177/0278364920909905 ↗
32. 10.1002/advs.20230739110.1002/advs.202307391 ↗
33. 10.1002/admt.20220125910.1002/admt.202201259 ↗
34. 10.1089/soro.2020.015310.1089/soro.2020.0153 ↗
35. 10.1117/12.261506810.1117/12.2615068 ↗
36. 10.1002/admt.20200072410.1002/admt.202000724 ↗
37. D. S.Esser E.McCabe T. E.Ertop A.Kuntz R. J.Webster in2024 IEEE 7th International Conference on Soft Robotics (RoboSoft) IEEE San Diego CA USA 2024 pp.366–373.10.1109/RoboSoft60065.2024.10521936 ↗
38. 10.1080/19475411.2022.206570310.1080/19475411.2022.2065703 ↗
39. 10.1002/adfm.20210766210.1002/adfm.202107662 ↗
40. 10.1002/admt.20230142610.1002/admt.202301426 ↗
41. 10.1089/soro.2022.023210.1089/soro.2022.0232 ↗
42. 10.1115/1.404715610.1115/1.4047156 ↗
43. 10.1089/soro.2019.003410.1089/soro.2019.0034 ↗
44. 10.1089/soro.2021.021810.1089/soro.2021.0218 ↗
45. 10.1089/soro.2019.008910.1089/soro.2019.0089 ↗
46. An S.‐Q. · Smart Mater. Struct. · 2020
47. 10.1007/s10035-022-01306-710.1007/s10035-022-01306-7 ↗
48. 10.1109/TRO.2022.318353310.1109/TRO.2022.3183533 ↗
49. 10.3390/mi1407147110.3390/mi14071471 ↗
50. 10.1089/soro.2021.010210.1089/soro.2021.0102 ↗
51. 10.1016/j.sna.2022.11344910.1016/j.sna.2022.113449 ↗
52. 10.1002/aisy.20190004110.1002/aisy.201900041 ↗
53. 10.1016/j.jare.2023.10.00410.1016/j.jare.2023.10.004 ↗