Oct 5, 2022
Fluidic circuits add analog options for controlling soft robots
Posted by Dan Breeden in categories: materials, robotics/AI
Add analog and air-driven to the list of control system options for soft robots.
In a study published online this week, robotics researchers, engineers and materials scientists from Rice University and Harvard University showed it is possible to make programmable, nonelectronic circuits that control the actions of soft robots by processing information encoded in bursts of compressed air.
Continue reading “Fluidic circuits add analog options for controlling soft robots” »