A walking robot goes mountaineering

Jul 13, 2007

The human gait is a marvel of coordination. All aspects of movement control – from the angle of the knee joints to the momentum of the hip up to the balance point of the torso – need to be meticulously adjusted. In addition, the gait is adaptable to different environments. Walking on ice is different from walking on solid ground, walking uphill is different from downhill.

In their study, publishing in PLoS Computational Biology July 13, 2007, scientists around Florentin Wörgötter, Bernstein Center for Computational Neuroscience at the University of Göttingen, have simulated the neuronal principles that form the basis of this adaptivity in a walking robot.

"RunBot", as it is called, lives up to its name – it holds the world record in speed walking for dynamic machines. Now its inventors have expanded its repertoire.

With an infrared eye it can detect a slope on its path and adjust its gait on the spot. Just as a human, it leans forwards slightly and uses shorter steps. It can learn this behavior using only a few trials.

The robots ability to abruptly switch from one gait to the other is due to the hierarchical organization of the movement control. In this respect, it resembles that of a human and can hold as a human model. On the lower hierarchical levels, movement is based on reflexes driven by peripheral sensors. Control circuits ensure that the joints are not overstretched or that the next step is initiated as soon as the foot touches the ground.

Only when the gait needs to be adapted, higher centers of organization step in – a process triggered by the human brain or, in case of the robot, by its infrared eye leading on to a simpler neural network. Because of the hierarchical organization adjustment of the gait can be achieved by changing only a few parameters. Other factors will be automatically tuned through the regular circuits.

At its first attempt to climb a slope, RunBot will fall over backwards, as it has not yet learned to react to its visual input with a change in gait. But just like children, RunBot learns from its failures, leading to a strengthening of the contact between the eye and the sites of movement control. Only once these connections are established, step length and body posture are controllable by the visually induced signal. The steeper the slope, the stronger RunBot will adapt its gait.

Source: Public Library of Science

Explore further: Warming leads to more run-ins with polar bears

add to favorites email to friend print save as pdf

Related Stories

What quails can teach us about the gait of dinosaurs

Dec 09, 2014

Motion scientists and zoologists of Jena University (Germany) study out the gait of birds. In the Proceedings of the Royal Society B the team published the first detailed analysis of the bipedal gait of qua ...

Researchers study the biomechanics of locomotion

Oct 03, 2014

Rodger Kram, a faculty member in the integrative physiology department and an expert on human locomotion, has a fond place in his heart for kangaroos. A few decades ago he and colleagues measured the gait ...

Amber 2 robot walks with a human gait (w/ Video)

Oct 25, 2013

(Phys.org) —The engineering team at Texas A&M's Amber robotics labs has been hard at work trying to improve one area of robotics that others seem to be ignoring—getting a robot to mimic the natural gait ...

Recommended for you

A vegetarian carnivorous plant

17 hours ago

Carnivorous plants catch and digest tiny animals in order and derive benefits for their nutrition. Interestingly the trend towards vegetarianism seems to overcome carnivorous plants as well. The aquatic carnivorous bladderwort, ...

User comments : 0

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.