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Wang S, Zhang P, He L, Maiolino P. Toward Onboard Proportional Control of Multi-Chamber Soft Pneumatic Robots: A Magnetorheological Elastomer Valve Array. Soft Robot 2024; 11:617-627. [PMID: 39178399 DOI: 10.1089/soro.2023.0049] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 08/25/2024] Open
Abstract
Soft pneumatic actuators (SPAs) are commonly used in various applications because of their structural compliance, low cost, ease of manufacture, high adaptability, and safe human-robot interaction. The traditional approach for achieving proportional control of soft pneumatic robots requires the use of industrial proportional valves or syringe drivers, which are not only rigid and bulky but also hard to be integrated into the body of soft robots. In our previous research, we developed a Magnetorheological elastomer (MRE)-based soft valve that showed advantages for controlling SPAs due to its compliance, compactness, robustness, and compatibility for continuous pressure modulation. Modern soft robots with multiple chambers require more MRE valves onboard for their control. However, merely packing more MRE valves for soft robots can cause problems like magnetic interference, flow rate deviation, and overheating. Therefore, in this study, we proposed a two-dimensional MRE valve array design to solve issues of magnetic interference and overheating when expanding from a single MRE proportional valve into an integrated array. The magnetic interference and the overheating problem were investigated through multiphysics simulation, bringing the optimal choice of valve spacing (1.2 times the single valve diameter), magnetic coil pole arrangement (same pole), and the cooling system design (internal cooling chamber with flowing water). Physical experiments showed that our MRE valve array maintained its original flowrate performance with low magnetic interference (0.89 mT) and low coil temperature (under 73.9°C for 5 min).
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Affiliation(s)
- Sihan Wang
- Department of Engineering Science, University of Oxford, Oxford, United Kingdom
| | - Peizhi Zhang
- Department of Modern Mechanical Engineering, Graduate Program for Embodiment Informatics for Leading Graduate Schools, Waseda University, Shinjuku, Japan
| | - Liang He
- Department of Engineering Science, University of Oxford, Oxford, United Kingdom
| | - Perla Maiolino
- Department of Engineering Science, University of Oxford, Oxford, United Kingdom
- Department of Mechanics and Machine Design, University of Genova, Genova, Italy
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Gaeta LT, McDonald KJ, Kinnicutt L, Le M, Wilkinson-Flicker S, Jiang Y, Atakuru T, Samur E, Ranzani T. Magnetically induced stiffening for soft robotics. SOFT MATTER 2023; 19:2623-2636. [PMID: 36951679 PMCID: PMC10183112 DOI: 10.1039/d2sm01390h] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 05/16/2023]
Abstract
Soft robots are well-suited for human-centric applications, but the compliance that gives soft robots this advantage must also be paired with adequate stiffness modulation such that soft robots can achieve more rigidity when needed. For this reason, variable stiffening mechanisms are often a necessary component of soft robot design. Many techniques have been explored to introduce variable stiffness structures into soft robots, such as pneumatically-controlled jamming and thermally-controlled phase change materials. Despite fast response time, jamming methods often require a bulkier pneumatic pressure line which limits portability; and while portable via electronic control, thermally-induced methods require compatibility with high temperatures and often suffer from slow response time. In this paper, we present a magnetically-controlled stiffening approach that combines jamming-based stiffening principles with magnetorheological fluid to create a hybrid mechanical and materials approach. In doing so, we combine the advantages of fast response time from pneumatically-based jamming with the portability of thermally-induced phase change methods. We explore the influence of magnetic field strength on the stiffening of our magnetorheological jamming beam samples in two ways: by exploiting the increase in yield stress of magnetorheological fluid, and by additionally using the clamping force between permanent magnets to further stiffen the samples via a clutch effect. We introduce an analytical model to predict the stiffness of our samples as a function of the magnetic field. Finally, we demonstrate electronic control of the stiffness using electropermanent magnets. In this way, we present an important step towards a new electronically-driven stiffening mechanism for soft robots that interact safely in close contact with humans, such as in wearable devices.
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Affiliation(s)
- Leah T Gaeta
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
| | - Kevin J McDonald
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
| | - Lorenzo Kinnicutt
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
| | - Megan Le
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
| | | | - Yixiao Jiang
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
| | - Taylan Atakuru
- Department of Mechanical Engineering, Boğaziçi University, Istanbul, Turkey
| | - Evren Samur
- Department of Mechanical Engineering, Boğaziçi University, Istanbul, Turkey
| | - Tommaso Ranzani
- Department of Mechanical Engineering, Boston University, Boston, MA 02215, USA.
- Division of Materials Science and Engineering, Boston University, Boston, MA 02215, USA
- Department of Biomedical Engineering, Boston University, Boston, MA 02215, USA
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Marullo S, Salvietti G, Prattichizzo D. On the Use of Magnets to Robustify the Motion Control of Soft Hands. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3205751] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/08/2022]
Affiliation(s)
- Sara Marullo
- Department of Information Engineering and Mathematics, University of Siena, Siena, Italy
| | - Gionata Salvietti
- Department of Information Engineering and Mathematics, University of Siena, Siena, Italy
| | - Domenico Prattichizzo
- Department of Information Engineering and Mathematics, University of Siena, Siena, Italy
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