Robots that walk like humans

February 17, 2005
The MIT learning biped

Three independent research teams, including one from MIT, have built walking robots that mimic humans in terms of their gait, energy-efficiency, and control. The MIT robot also demonstrates a new learning system that allows the robot to continually adapt to the terrain as it walks. The work, to be described in the Feb. 18 issue of the journal Science, could change the way humanoid robots are designed and controlled and has potential applications for robotic prostheses. It could also aid scientists' understanding of the human motor system.

Developed at MIT, Cornell, and Holland's Delft University of Technology, the three robots are all based on the same principle: they are an extension of several years of research into "passive-dynamic walkers" that walk down a shallow slope without any motors. Passive-dynamic walkers were inspired by walking toys that have been around since the 1800s.

TODDLER
Control programs in the Cornell and Delft robots are extremely simple, because a large portion of the control problem is solved in the mechanical design. The MIT robot uses a learning program that exploits this design, allowing the robot to teach itself to walk in less than 20 minutes, or about 600 steps.

Dubbed "Toddler" because it learns to walk and because it toddles when it does so, the robot "is one of the first walking robots to use a learning program, and it is the first to learn to walk without any prior information built into the controller," said Russ Tedrake, a postdoctoral associate in the Department of Brain and Cognitive Sciences.

Among other things, the learning program allows the robot to navigate efficiently over a variety of walking surfaces, and may eventually allow robots to navigate very rough terrain. That's because the program works so quickly that Toddler is able to continuously adapt to the terrain as it walks.

Tedrake will demonstrate Toddler at a press briefing Feb. 17 at the annual meeting of the American Association for the Advancement of Science in Washington, DC. His coauthors of the Science paper are Professor Andy Ruina of Cornell, Steven Collins of the University of Michigan, and Martijn Wisse of Delft.

Tedrake's MIT advisor on the work is Professor Sebastian Seung of the Department of Brain and Cognitive Sciences. The project involved a number of MIT students that participated through the Undergraduate Research Opportunities Program, including Ming-fai Fong, Derrick Tan, and Andrew Baines. The version of the robot featured in Science was designed and built by Tedrake and Teresa Weirui Zhang, an alumni of the MIT mechanical engineering department.

ENERGY-EFFICIENT
The three robots are quite energy-efficient. Cornell's "seems to be at least 10 times more efficient than anybody else's," said Ruina. Rough calculations suggest that it approaches human efficiency, consuming an amount of energy per unit weight and distance comparable to a human walker. The MIT and Delft robots, though not built deliberately to be energy-efficient, still use much less energy than, say, their famous cousin, Honda's Asimo.

How do they move? The Cornell robot supplies power to the ankles to push off. When the forward foot hits the ground, a simple microchip controller tells the rear foot to push off. During the forward swing of each leg, a small motor stretches a spring, which is finally released to provide the push. The Delft robot uses a pneumatic push at the hip, and the MIT robot uses electric motors that directly move the ankle. All three robots have arms synchronized to swing with the opposite leg for balance.

The robot work was done primarily to study the biomechanics and control of human locomotion, but it could have applications in practical robotics. Collins, for example, is applying some of what he's learned to the design of a powered prosthetic foot for amputees. This work was supported in part by the National Science Foundation and the MIT Center for Bits and Atoms.

Explore further: Robots' maps of their environments can make existing object-recognition algorithms more accurate

Related Stories

Self-folding robot walks, swims, climbs, dissolves

May 30, 2015

A demo sparking interest at the ICRA 2015 conference in Seattle was all about an origami robot that was worked on by researchers. More specifically, the team members are from the computer science and artificial intelligence ...

Researcher uses microscale technology to isolate rare cells

June 17, 2015

In a blood sample taken from a cancer patient, there may be a single circulating tumor cell among hundreds of thousands of other cells. These tumor cells can provide valuable information about how cancer progresses, and could ...

Recommended for you

A cataclysmic event of a certain age

July 27, 2015

At the end of the Pleistocene period, approximately 12,800 years ago—give or take a few centuries—a cosmic impact triggered an abrupt cooling episode that earth scientists refer to as the Younger Dryas.

New blow for 'supersymmetry' physics theory

July 27, 2015

In a new blow for the futuristic "supersymmetry" theory of the universe's basic anatomy, experts reported fresh evidence Monday of subatomic activity consistent with the mainstream Standard Model of particle physics.

Dense star clusters shown to be binary black hole factories

July 29, 2015

The coalescence of two black holes—a very violent and exotic event—is one of the most sought-after observations of modern astronomy. But, as these mergers emit no light of any kind, finding such elusive events has been ...

Image: Hubble sees a dying star's final moments

July 31, 2015

A dying star's final moments are captured in this image from the NASA/ESA Hubble Space Telescope. The death throes of this star may only last mere moments on a cosmological timescale, but this star's demise is still quite ...

0 comments

Please sign in to add a comment. Registration is free, and takes less than a minute. Read more

Click here to reset your password.
Sign in to get notified via email when new comments are made.