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Soft components for the next generation of soft robotics

Date:
September 8, 2021
Source:
Harvard John A. Paulson School of Engineering and Applied Sciences
Summary:
Researchers have developed electrically-driven soft valves to control hydraulic soft actuators. These valves could be used in assistive and therapeutic devices, bio-inspired soft robots, soft grippers, surgical robots, and more.
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Soft robots driven by pressurized fluids could explore new frontiers and interact with delicate objects in ways that traditional rigid robots can’t. But building entirely soft robots remains a challenge because many of the components required to power these devices are, themselves, rigid. 

Now, researchers from the Harvard John A. Paulson School of Engineering and Applied Sciences (SEAS) have developed electrically-driven soft valves to control hydraulic soft actuators. These valves could be used in assistive and therapeutic devices, bio-inspired soft robots, soft grippers, surgical robots, and more.

The research was published in the Proceedings of the National Academy of Sciences (PNAS).  

“Today’s rigid regulation systems considerably limit the adaptability and mobility of fluid-driven soft robots,” said Robert J. Wood, the Harry Lewis and Marlyn McGrath Professor of Engineering and Applied Sciences at SEAS and senior author of the paper. “Here, we have developed soft and lightweight valves to control soft hydraulic actuators that open up possibilities for soft on-board controls for future fluidic soft robots.”

Soft valves aren’t new but so far none have achieved the pressure or flow rates required by many existing hydraulic actuators. To overcome those limitations, the team developed new electrically powered dynamic dielectric elastomer actuators (DEAs). These soft actuators have ultra-high power density, are lightweight, and can run for hundreds of thousands of cycles. The team combined these new dielectric elastomer actuators with a soft channel, resulting in a soft valve for fluidic control. 

“These soft valves have a fast response time and are able to control fluidic pressure and flow rates that match the needs of hydraulic actuators,” said Siyi Xu, a graduate student at SEAS and first author of the paper. “These valves give us fast, powerful control of macro-and small-scale hydraulic actuators with internal volume ranging from hundreds of microliters to tens of milliliters.” 

Using the DEA soft valves, the researchers demonstrated control of hydraulic actuators of different volumes and achieved independent control of multiple actuators powered by a single pressure source. 

“This compact and light-weight DEA valve is capable of unprecedented electrical control of hydraulic actuators, showing the potential for future on-board motion control of soft fluid-driven robots,” said Xu. 

The research was co-authored by Yufeng Chen, Nak-Seung Patrick Hyun, and Kaitlyn Becker. It was supported by the National Science Foundation and the National Robotic Initiative under award CMMI-1830291. 


Story Source:

Materials provided by Harvard John A. Paulson School of Engineering and Applied Sciences. Original written by Leah Burrows. Note: Content may be edited for style and length.


Journal Reference:

  1. Siyi Xu, Yufeng Chen, Nak-seung P. Hyun, Kaitlyn P. Becker, Robert J. Wood. A dynamic electrically driven soft valve for control of soft hydraulic actuators. Proceedings of the National Academy of Sciences, 2021; 118 (34): e2103198118 DOI: 10.1073/pnas.2103198118

Cite This Page:

Harvard John A. Paulson School of Engineering and Applied Sciences. "Soft components for the next generation of soft robotics." ScienceDaily. ScienceDaily, 8 September 2021. <www.sciencedaily.com/releases/2021/09/210908180516.htm>.
Harvard John A. Paulson School of Engineering and Applied Sciences. (2021, September 8). Soft components for the next generation of soft robotics. ScienceDaily. Retrieved March 18, 2024 from www.sciencedaily.com/releases/2021/09/210908180516.htm
Harvard John A. Paulson School of Engineering and Applied Sciences. "Soft components for the next generation of soft robotics." ScienceDaily. www.sciencedaily.com/releases/2021/09/210908180516.htm (accessed March 18, 2024).

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