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Soft assistive robotic wearable

Creator: MIT

Country: United States of America

Summary

Soft assistive robotic wearables get a boost from rapid design tool - use compressed air to power motion, and have sensing capabilities.

Status: Prototype, Research

Operation: Wearable

Robot Type / Domain: Multi/General-Purpose, Research

Tasks: assistive wearables, rehabilitative technologies

Learn More

Below is an extract from "Gordon, R. (2022, May 02). Soft assistive robotic wearables get a boost from rapid design tool. MIT CSAIL. https://www.csail.mit.edu/news/soft-assistive-robotic-wearables-get-boost-rapid-design-tool"

"Soft, pneumatic actuators might not be a phrase that comes up in daily conversations, but more likely than not you might have benefited from their utility. The devices use compressed air to power motion, and with sensing capabilities, they've proven to be a critical backbone in a variety of applications such as assistive wearables, robotics, and rehabilitative technologies. 

But there’s a bit of a bottleneck in creating the little dynamic devices that have advantages like high response rates and power to input ratios. They require a manual design and fabrication pipeline, which translates to a lot of trial and error cycles to actually test and see whether the designs will work. 

Scientists from MIT’s Computer Science and Artificial Intelligence Laboratory (CSAIL) devised a scalable pipeline to computationally design and digitally fabricate soft pneumatic actuators called “PneuAct.” "

Technical Specifications

Min. Size: N/A

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Actuation: Pneumatic

Number of Actuators: N/A

Body Material: Machine-knitted pneumatic actuators

Number of Axes: N/A

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Open-source? N/A

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No more specs to show.

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References

Luo, Y., Wu, K., Spielberg, A., Foshey, M., Rus, D., Palacios, T., & Matusik, W. (2022). Digital Fabrication of Pneumatic Actuators with Integrated Sensing by Machine Knitting. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (pp. 175). Association for Computing Machinery. https://doi.org/10.1145/3491102.3517577

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