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Lee HC, Elder N, Leal M, Stantial S, Vergara Martinez E, Jos S, Cho H, Russo S. A fabrication strategy for millimeter-scale, self-sensing soft-rigid hybrid robots. Nat Commun 2024; 15:8456. [PMID: 39349426 PMCID: PMC11442515 DOI: 10.1038/s41467-024-51137-8] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/22/2023] [Accepted: 07/31/2024] [Indexed: 10/02/2024] Open
Abstract
Soft robots typically involve manual assembly of core hardware components like actuators, sensors, and controllers. This increases fabrication time and reduces consistency, especially in small-scale soft robots. We present a scalable monolithic fabrication method for millimeter-scale soft-rigid hybrid robots, simplifying the integration of core hardware components. Actuation is provided by soft-foldable polytetrafluoroethylene film-based actuators powered by ionic fluid injection. The desired motion is encoded by integrating a mechanical controller, comprised of rigid-flexible materials. The robot's motion can be self-sensed using an ionic resistive sensor by detecting electrical resistance changes across its body. Our approach is demonstrated by fabricating three distinct soft-rigid hybrid robotic modules, each with unique degrees of freedom: translational, bending, and roto-translational motions. These modules connect to form a soft-rigid hybrid continuum robot with real-time shape-sensing capabilities. We showcase the robot's capabilities by performing object pick-and-place, needle steering and tissue puncturing, and optical fiber steering tasks.
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Affiliation(s)
- Hun Chan Lee
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Nash Elder
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Matthew Leal
- Department of Biomedical Engineering, Boston University, Boston, MA, USA
| | - Sarah Stantial
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | | | - Sneha Jos
- Department of Physics, Boston University, Boston, MA, USA
| | - Hyunje Cho
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Sheila Russo
- Department of Mechanical Engineering, Boston University, Boston, MA, USA.
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Moran AM, Vo VT, McDonald KJ, Sultania P, Langenbrunner E, Chong JHV, Naik A, Kinnicutt L, Li J, Ranzani T. An electropermanent magnet valve for the onboard control of multi-degree of freedom pneumatic soft robots. COMMUNICATIONS ENGINEERING 2024; 3:117. [PMID: 39179768 PMCID: PMC11344064 DOI: 10.1038/s44172-024-00251-y] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/17/2023] [Accepted: 07/18/2024] [Indexed: 08/26/2024]
Abstract
To achieve coordinated functions, fluidic soft robots typically rely on multiple input lines for the independent inflation and deflation of each actuator. Fluidic actuators are controlled by rigid electronic pneumatic valves, restricting the mobility and compliance of the soft robot. Recent developments in soft valve designs have shown the potential to achieve a more integrated robotic system, but are limited by high energy consumption and slow response time. In this work, we present an electropermanent magnet (EPM) valve for electronic control of pneumatic soft actuators that is activated through microsecond electronic pulses. The valve incorporates a thin channel made from thermoplastic films. The proposed valve (3 × 3 × 0.8 cm, 2.9 g) can block pressure up to 146 kPa and negative pressures up to -100 kPa with a response time of less than 1 s. Using the EPM valves, we demonstrate the ability to switch between multiple operation sequences in real time through the control of a six-DoF robot capable of grasping and hopping with a single pressure input. Our proposed onboard control strategy simplifies the operation of multi-pressure systems, enabling the development of dynamically programmable soft fluid-driven robots that are versatile in responding to different tasks.
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Affiliation(s)
- Anna Maria Moran
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Vi T Vo
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Kevin J McDonald
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Pranav Sultania
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Eva Langenbrunner
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | | | - Amartya Naik
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Lorenzo Kinnicutt
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Jingshuo Li
- Department of Mechanical Engineering, Boston University, Boston, MA, USA
| | - Tommaso Ranzani
- Department of Mechanical Engineering, Boston University, Boston, MA, USA.
- Department of Biomedical Engineering, Boston University, Boston, MA, USA.
- Materials Science and Engineering Division, Boston University, Boston, MA, USA.
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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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Özkayar G, Wang Z, Lötters J, Tichem M, Ghatkesar MK. Flow Ripple Reduction in Reciprocating Pumps by Multi-Phase Rectification. SENSORS (BASEL, SWITZERLAND) 2023; 23:6967. [PMID: 37571751 PMCID: PMC10422673 DOI: 10.3390/s23156967] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/04/2023] [Revised: 07/28/2023] [Accepted: 08/01/2023] [Indexed: 08/13/2023]
Abstract
Reciprocating piezoelectric micropumps enable miniaturization in microfluidics for lab-on-a-chip applications such as organs-on-chips (OoC). However, achieving a steady flow when using these micropumps is a significant challenge because of flow ripples in the displaced liquid, especially at low frequencies or low flow rates (<50 µL/min). Although dampers are widely used for reducing ripples in a flow, their efficiency depends on the driving frequency of the pump. Here, we investigated multi-phase rectification as an approach to minimize ripples at low flow rates by connecting piezoelectric micropumps in parallel. The efficiency in ripple reduction was evaluated with an increasing number (n) of pumps connected in parallel, each actuated by an alternating voltage waveform with a phase difference of 2π/n (called multi-phase rectification) at a chosen frequency. We introduce a fluidic ripple factor (RFfl.), which is the ratio of the root mean square (RMS) value of the fluctuations present in the rectified output to the average fluctuation-free value of the discharge flow, as a metric to express the quality of the flow. The fluidic ripple factor was reduced by more than 90% by using three-phase rectification when compared to one-phase rectification in the 2-60 μL/min flow rate range. Analytical equations to estimate the fluidic ripple factor for a chosen number of pumps connected in parallel are presented, and we experimentally confirmed up to four pumps. The analysis shown can be used to design a frequency-independent multi-phase fluid rectifier to the desired ripple level in a flow for reciprocating pumps.
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Affiliation(s)
- Gürhan Özkayar
- Department of Precision and Microsystems Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands; (Z.W.)
| | - Zhilin Wang
- Department of Precision and Microsystems Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands; (Z.W.)
| | - Joost Lötters
- Department of Precision and Microsystems Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands; (Z.W.)
- Bronkhorst High-Tech B.V., 7261 AK Ruurlo, The Netherlands
| | - Marcel Tichem
- Department of Precision and Microsystems Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands; (Z.W.)
| | - Murali Krishna Ghatkesar
- Department of Precision and Microsystems Engineering, Delft University of Technology, 2628 CD Delft, The Netherlands; (Z.W.)
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Rajappan A, Jumet B, Shveda RA, Decker CJ, Liu Z, Yap TF, Sanchez V, Preston DJ. Logic-enabled textiles. Proc Natl Acad Sci U S A 2022; 119:e2202118119. [PMID: 35994641 PMCID: PMC9436326 DOI: 10.1073/pnas.2202118119] [Citation(s) in RCA: 14] [Impact Index Per Article: 7.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/09/2022] [Accepted: 07/14/2022] [Indexed: 11/18/2022] Open
Abstract
Textiles hold great promise as a soft yet durable material for building comfortable robotic wearables and assistive devices at low cost. Nevertheless, the development of smart wearables composed entirely of textiles has been hindered by the lack of a viable sheet-based logic architecture that can be implemented using conventional fabric materials and textile manufacturing processes. Here, we develop a fully textile platform for embedding pneumatic digital logic in wearable devices. Our logic-enabled textiles support combinational and sequential logic functions, onboard memory storage, user interaction, and direct interfacing with pneumatic actuators. In addition, they are designed to be lightweight, easily integrable into regular clothing, made using scalable fabrication techniques, and durable enough to withstand everyday use. We demonstrate a textile computer capable of input-driven digital logic for controlling untethered wearable robots that assist users with functional limitations. Our logic platform will facilitate the emergence of future wearables powered by embedded fluidic logic that fully leverage the innate advantages of their textile construction.
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Affiliation(s)
- Anoop Rajappan
- Department of Mechanical Engineering, Rice University, Houston, TX 77005
| | - Barclay Jumet
- Department of Mechanical Engineering, Rice University, Houston, TX 77005
| | - Rachel A. Shveda
- Department of Mechanical Engineering, Rice University, Houston, TX 77005
| | - Colter J. Decker
- Department of Mechanical Engineering, Rice University, Houston, TX 77005
| | - Zhen Liu
- Department of Mechanical Engineering, Rice University, Houston, TX 77005
| | - Te Faye Yap
- Department of Mechanical Engineering, Rice University, Houston, TX 77005
| | - Vanessa Sanchez
- John A. Paulson School of Engineering and Applied Sciences, Harvard University, Cambridge, MA 02138
- Wyss Institute for Biologically Inspired Engineering, Boston, MA 02115
| | - Daniel J. Preston
- Department of Mechanical Engineering, Rice University, Houston, TX 77005
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Abstract
The next robotics frontier will be led by biohybrids. Capable biohybrid robots require microfluidics to sustain, improve, and scale the architectural complexity of their core ingredient: biological tissues. Advances in microfluidics have already revolutionized disease modeling and drug development, and are positioned to impact regenerative medicine but have yet to apply to biohybrids. Fusing microfluidics with living materials will improve tissue perfusion and maturation, and enable precise patterning of sensing, processing, and control elements. This perspective suggests future developments in advanced biohybrids.
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McDonald KJ, Kinnicutt L, Moran AM, Ranzani T. Modulation of Magnetorheological Fluid Flow in Soft Robots Using Electropermanent Magnets. IEEE Robot Autom Lett 2022. [DOI: 10.1109/lra.2022.3147873] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/19/2023]
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