Why can’t robots outrun animals like cougars and wildebeests? – research

Many of us have seen impressive videos of humanoid robots that walk, talk and even seem to think like humans. But can they do something and replace human workers? Can they run faster than even hounds or jump higher than cougars?

Robotics engineers have worked for decades and invested many millions of dollars in research trying to create a robot that can walk or run as well as an animal. Yet the fact remains that many animals are capable of feats that would be impossible for the robots that exist today.

Animals are much better at running than robots. The difference in performance arises in the important dimensions of flexibility, reach and strength.

“The wildebeest – an African member of the antelope family that looks like a cow – can migrate thousands of kilometers over rugged terrain; cockroaches can lose their legs but still run fast; and a mountain goat can climb a rock,” said Prof. Max Donelan of the Department of Biomedical Physiology and Kinesiology at Simon Fraser University in British Columbia. “We have no robots capable of such a thing.”

Wildebeest (Connochaetes taurinus) are seen during their migration to greener pastures, between the Maasai Mara Game Reserve and the open plains of the Serengeti, southwest of Nairobi, in the Maasai Mara Game Reserve, in Narok County, Kenya, August 22 2023 (Credit: Thomas Mukoya/Reuters)

He and colleagues at the University of Washington, the University of Colorado at Boulder; and the Georgia Institute of Technology just published a study in the journal Scientific robotics under the title “Why Animals Can Outrun Robots”.

To answer the question of why and how robots lag behind animals, they examined various aspects of working robots, comparing them to their animal equivalents, for a paper published in Scientific robotics. The paper finds that by the metrics used by engineers, biological components perform surprisingly poorly compared to manufactured parts. Where animals excel, however, is their integration and control over these components.

Researchers study one of five different “subsystems” that combine to create a working robot—power, frame, actuation, sensing, and control—and compare them to their biological equivalents. Until now, it was generally accepted that the superiority of animals over robots must be due to the superiority of biological components.

Robots are yet to catch up with animals

“The way things have turned out is that, with only a few exceptions, engineered subsystems outperform biological equivalents—and sometimes radically outperform them,” the authors write. “But also what’s very, very clear is that if you compare animals to robots on a system-wide level, in terms of locomotion, animals are amazing — and robots are yet to catch up.”

Optimistically for the field of robotics, the researchers noted that if you compare the relatively short time robotics has had to develop its technology to the countless generations of animals that have evolved over many millions of years, progress is actually remarkably fast.

“It will move faster because evolution is undirected,” they added. “Although we can easily adjust the way we design robots and learn something in one robot and download it to any other robot, biology doesn’t have that option, so there are ways we can move much faster, when we design robots than we can by evolution – but evolution has a huge head start.”

More than just an engineering challenge, efficient working robots offer countless potential applications. Whether solving last-mile delivery challenges in a human-made world that is often difficult for wheeled robots to navigate, conducting searches in hazardous environments, or working with hazardous materials, there are many potential applications for the technology.

The researchers hope their study will help guide future developments in robot technology, with an emphasis not on building better hardware, but on understanding how to better integrate and control existing hardware. Donelan concludes that “as engineering learns the principles of integration from biology, working robots will become as efficient, flexible and robust as their biological counterparts.”



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