Gabrielle Conard, a PhD student, demonstrates soft robotics technology in Cagdas Onal’s laboratory.
Inspired by origami, Worcester Polytechnic Institute (WPI) robotics engineering researchers are developing a lightweight, flexible robotic arm that will enable a wheelchair user to safely grasp, lift, and carry objects that would otherwise be out of reach.
Through the four-year project, researchers Cagdas Onal, Berk Calli, and Loris Fichera are developing a framework for the design, modeling, and control of soft continuum robotic arms, which are more flexible than traditional robot arms. The research is funded by a $1,314,792 award from the National Science Foundation (NSF).
“The basic scientific discoveries we are making in this research address real-world challenges for people who use wheelchairs and need devices that will help them grab out-of-reach objects,” said Onal, who is principal investigator (PI) on the project and an associate professor in the WPI Department of Robotics Engineering. “A new class of lightweight, safe robotic arms based on the breakthroughs we are making would give those individuals more independence in their daily activities.”
Soft continuum robotic arms expand, shrink, and bend along their entire length, like a coiled spring, to move in different directions and travel around objects. That flexibility makes soft robotics a promising technology in complicated human environments. However, soft robotic arms also tend to be weaker, more shaky, and less precise than traditional robot arms made from rigid materials.
To address the weaknesses of soft robotic arms, the researchers are developing origami-inspired designs and novel fabrication methods for modules made of lightweight plastics, 3D printed components, and off-the-shelf items such as sensors and cables. By folding flat sheets of clear plastic into springy tube-like structures, the researchers are creating modules that are strong, stiff, and resistant to twisting, all while remaining lightweight. The researchers are also developing specialized algorithms that can run on microcontroller platforms to direct the motion and reactions of a robotic arm.
