Frequency‐Controlled Fluidic Oscillators for Soft Robots
Source abstract
Abstract
Abstract Electronic‐free controls have recently emerged as one of the main topics in soft robotics. However, electronic‐free fluidic circuits still lack controllability and reconfigurability to achieve different functions. Here, reconfigurable pneumatic valves that widen the design space of fluidic circuits are presented. The significance of two parameters on the valve's operation: a pre‐defined manufacturing parameter that sets the initial operational range of the valve, and a second, on‐the‐fly modifiable geometric parameter that shifts the behavior of the valve during operation is shown. It is demonstrated that equipping the valve with these reconfigurable features enables the tuning of fluidic oscillatory circuits as illustrated by two examples: a frequency‐controlled relaxation oscillator and a reconfigurable ring oscillator. The relaxation oscillator is employed to control the actuation frequency of a soft hopper, which is able to achieve 80 to 125 hops min−1 and a hopping speed ranging from ≈1 to ≈1.185 BL s−1. Additionally, the reconfigurable ring oscillator is used to demonstrate how each output frequency can be controlled independently, via a soft robotic crawler that can navigate in three directions, and a volume‐controlled fluidic pump able to achieve mixing of solutions in environments where electronic components cannot operate.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Soft Robotics and Applications · Modular Robots and Swarm Intelligence · Advanced Sensor and Energy Harvesting Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
Department of Engineering King's College London Strand London WC2R2LS UK
Department of Mechanical Engineering KU Leuven Celestijnenlaan 300 Leuven 3000 Belgium
Flanders Make Celestijnenlaan 300 Leuven 3000 Belgium
Funding
Engineering and Physical Sciences Research Council · UK Research and Innovation · European Research Council
References (37)
Show source-provided references
1. 10.1002/anie.20180090710.1002/anie.201800907 ↗
2. 10.1126/scirobotics.aah369010.1126/scirobotics.aah3690 ↗
3. 10.1126/scirobotics.aar344910.1126/scirobotics.aar3449 ↗
4. 10.1038/s41563-020-0699-310.1038/s41563-020-0699-3 ↗
5. 10.3389/frobt.2019.0004010.3389/frobt.2019.00040 ↗
6. 10.1038/s41467-023-39691-z10.1038/s41467-023-39691-z ↗
7. 10.1038/nature1910010.1038/nature19100 ↗
8. 10.1002/adma.20200264010.1002/adma.202002640 ↗
9. 10.1109/MRA.2014.236028310.1109/MRA.2014.2360283 ↗
10. 10.1126/scirobotics.aan635710.1126/scirobotics.aan6357 ↗
11. 10.1002/adma.20200186310.1002/adma.202001863 ↗
12. 10.1126/scirobotics.abg581210.1126/scirobotics.abg5812 ↗
13. 10.1126/scirobotics.aat287410.1126/scirobotics.aat2874 ↗
14. 10.1126/science.adg506710.1126/science.adg5067 ↗
15. 10.1126/scirobotics.aay262710.1126/scirobotics.aay2627 ↗
16. 10.1126/scirobotics.add464910.1126/scirobotics.add4649 ↗
17. 10.1038/s41586-019-1479-610.1038/s41586-019-1479-6 ↗
18. 10.1126/scirobotics.abc372110.1126/scirobotics.abc3721 ↗
19. 10.1126/scirobotics.adg379210.1126/scirobotics.adg3792 ↗
20. S. T.Mahon A.Buchoux M. E.Sayed L.Teng A. A.Stokes in2nd IEEE international conference on soft robotics (RoboSoft) IEEE New York2019 pp.782–787.10.1109/ROBOSOFT.2019.8722755 ↗
21. 10.1016/j.jmps.2019.07.00810.1016/j.jmps.2019.07.008 ↗
22. 10.1126/scirobotics.aar798610.1126/scirobotics.aar7986 ↗
23. 10.1073/pnas.182067211610.1073/pnas.1820672116 ↗
24. 10.1109/LRA.2022.314789810.1109/LRA.2022.3147898 ↗
25. 10.1002/advs.20210194110.1002/advs.202101941 ↗
26. 10.1073/pnas.131025411010.1073/pnas.1310254110 ↗
27. 10.1073/pnas.220592211910.1073/pnas.2205922119 ↗
28. 10.1002/advs.20210092410.1002/advs.202100924 ↗
29. 10.1126/scirobotics.aaw606010.1126/scirobotics.aaw6060 ↗
30. 10.1126/scirobotics.abg604910.1126/scirobotics.abg6049 ↗
31. 10.1126/sciadv.adl301410.1126/sciadv.adl3014 ↗
32. 10.1126/scirobotics.aag204810.1126/scirobotics.aag2048 ↗
33. J. K.Yim R. S.Fearing inIEEE/RSJ international conference on intelligent robots and systems (IROS) IEEE New York2018 pp.2229–2236.10.1109/IROS.2018.8594154 ↗
34. 10.1126/scirobotics.aaw549610.1126/scirobotics.aaw5496 ↗
35. 10.1038/nature1311810.1038/nature13118 ↗
36. 10.1073/pnas.220211811910.1073/pnas.2202118119 ↗
37. 10.1109/LRA.2022.315985810.1109/LRA.2022.3159858 ↗