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These robots move through the magic of mushrooms


Researchers at Cornell University tapped into fungal mycelia to power a pair of proof-of-concept robots. Mycelia, the underground fungal network that can sprout mushrooms as its above-ground fruit, can sense light and chemical reactions and communicate through electrical signals. This makes it a novel component in hybrid robotics that could someday detect crop conditions otherwise invisible to humans.

The Cornell researchers created two robots: a soft, spider-like one and a four-wheeled buggy. The researchers used mycelia’s light-sensing abilities to control the machines using ultraviolet light. The project required experts in mycology (the study of fungi), neurobiology, mechanical engineering, electronics and signal processing.

“If you think about a synthetic system — let’s say, any passive sensor — we just use it for one purpose,” lead author Anand Mishra said. “But living systems respond to touch, they respond to light, they respond to heat, they respond to even some unknowns, like signals. That’s why we think, OK, if you wanted to build future robots, how can they work in an unexpected environment? We can leverage these living systems, and any unknown input comes in, the robot will respond to that.”

The fungal robot uses an electrical interface that (after blocking out interference from vibrations and electromagnetic signals) records and processes the mycelia’s electrophysical activity in real time. A controller, mimicking a portion of animals’ central nervous systems, acted as “a kind of neural circuit.” The team designed the controller to read the fungi’s raw electrical signal, process it and translate it into digital controls. These were then sent to the machine’s actuators.

Diagram showing various parts of a complex fungus-robot hybridDiagram showing various parts of a complex fungus-robot hybrid

Cornell University / Science Robotics

The pair of shroom-bots successfully completed three experiments, including walking and rolling in response to the mycelia’s signals and changing their gaits in response to UV light. The researchers also successfully overrode the mycelia’s signals to control the robots manually, a crucial component if later versions were to be deployed in the wild.

As for where this technology goes, it could spawn more advanced versions that tap into mycelia’s ability to sense chemical reactions. “In this case we used light as the input, but in the future it will be chemical,” according to Rob Shepherd, Cornell mechanical and aerospace engineering professor and the paper’s senior author. The researchers believe this could lead to future robots that sense soil chemistry in crops, deciding when to add more fertilizer, “perhaps mitigating downstream effects of agriculture like harmful algal blooms,” Shepherd said.

You can read the team’s research paper at Science Robotics and find out more about the project from the Cornell Chronicle.



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