Modern robotics is awash with human-made machines mimicking the animal world. From stadium-surveying robot dogs to daddy long-legs-inspired exploration bots and just about everything in-between, there’s no shortage of mechanized animal doppelgängers roaming the world. Advancements in AI systems, new synthetic materials, and 3D printing have greatly improved these machines’ ability to run, climb, and shimmy their way around obstacles, often in the name of scientific exploration or public after.
But even with those technical advances and billions of dollars worth investment poured into the robotics industry in recent years, mechanized machines by and large still still lag behind against their biological equals in a head-to-head race. That basic observation underpins a new study by an interdisciplinary group of researchers published this week in the journal Science Robotics.
The researchers looked at five different “subsystems” associated with running and compared how they stack up better between animals and their robot counterparts. Animals, which rely on a tapestry of delicate bones and tissues, initially seem worse than machines on almost every individual component level. Their true advantage, the researchers discovered, actually lies in their complex and interconnected control over their bodies. That fluid interoperability makes animals greater than the sum of their individual parts.
“The way things turned out is that, with only minor exceptions, the engineering subsystems outperform the biological equivalents—and sometimes radically outperformed them,” SRI International Senior Research Engineer and paper co-author Tom Libby said in a statement. “But also what’s very, very clear is that,…
Read the full article here