“Our embedded morphing scheme uses a lightweight artificial muscle similar to a human muscle, and it contracts when electricity is applied,” he said. “By embedding these artificial muscles in the spine of the robot or in its skin, we can achieve a variety of shape-types. Altogether, this approach offers a promising path towards developing robots that can navigate and work in difficult environments.”
The paper outlines three different morphing robotic schemes. The first design is a gripper which can sense and adjust its shape to grasp on to items better. Another is a quadrupedal robot that can flatten itself to crawl through openings or grip a ledge to maneuver across gaps. The final robot is untethered and can change its leg shape and position to effortlessly switch from walking on land to swimming in water. All of three of these systems can morph on demand and the process can be reversed if needed," said Zhao.
“Frogs can make these kinds of changes effortlessly for example. They start as tadpoles with tails for swimming before developing legs that let them jump, crawl or swim,” he said. “We take inspiration from those transformations, but achieving animal-like embedded shape morphing in robots remains challenging and is something we hope this work will continue to address.”
Next steps for the robotic systems
The team has been working on this research since 2017, initially struggling to find a good method for actuation – or making the arms and legs contract and move. The current approach using artificial muscles driven by electricity allows for the needed mechanical systems to be contained inside the robot.
“Our system can also sense the different shapes or bending angles that are occurring based on the change of electrical resistance for the artificial muscle we are using,” he said. “This is a unique capability for our system and allows for adjustable, versatile and precise shapes depending on the current position in the robot.”
The team will now begin to refine the systems and explore ways to make these robots more independent in their activity. Right now, the systems are remote controlled, but Zhao envisions a time when they will be able to operate on their own – deciding which shape or morphology would be best.
“We are considering ways to add sensors or cameras that could help the robot autonomously navigate and decide for itself the best morphology and then apply and use that morphology for energy efficient locomotion,” Zhao said.
Published in journal: Nature Communications
Source/Credit: Colorado State University | Josh Rhoten
Reference Number: eng100223_02