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ROBO SPACE
TU Delft Robot Flame Walks Like A Human
by Staff Writers
Delft, Netherlands (SPX) Jun 03, 2008


Flame.

Researcher Daan Hobbelen of TU Delft has developed a new, highly-advanced walking robot: Flame. This type of research, for which Hobbelen will receive his PhD on Friday 30 May, is important as it provides insight into how people walk. This can in turn help people with walking difficulties through improved diagnoses, training and rehabilitation equipment.

If you try to teach a robot to walk, you will discover just how complex an activity it is. Walking robots have been around since the seventies. The applied strategies can roughly be divided into two types. The first derives from the world of industrial robots, in which everything is fixed in routines, as is the case with factory robots.

This approach can, where sufficient time and money are invested, produce excellent results, but there are major restrictions with regard to cost, energy consumption and flexibility.

Human
TU Delft is a pioneer of the other method used for constructing walking robots, which examines the way humans walk. This is really very similar to falling forward in a controlled fashion. Adopting this method replaces the cautious, rigid way in which robots walk with the more fluid, energy-efficient movement used by humans.

PhD student Daan Hobbelen has demonstrated for the first time that a robot can be both energy-efficient and highly stable. His breakthrough came in inventing a suitable method for measuring the stability of the way people walk for the first time. This is remarkable, as 'falling forward' is traditionally viewed as an unstable movement.

Next he built a new robot with which he was able to demonstrate the improved performance: Flame. Flame contains seven motors, an organ of balance and various algorithms which ensure its high level of stability.

For instance, the robot can apply the information provided by its organ of balance to place its feet slightly further apart in order to prevent a potential fall. According to Hobbelen, Flame is the most advanced walking robot in the world, at least in the category of robots which apply the human method of walking as a starting principle.

Rehabilitation
Modelling the walking process allows researchers to construct two-legged robots which walk more naturally. More insight into the walking process can in turn help people with walking difficulties, for example through improved diagnoses, training and rehabilitation equipment. TU Delft is working on this together with motion scientists at VU University Amsterdam.

Hobbelen cites ankles as an example. These joints are a type of spring which can be used to define the best level of elasticity. Research conducted by Hobbelen into Flame's ankles has provided motion scientists with more insight into this topic.

Football-playing robots
Over the next few years, TU Delft intends to take major steps forward in research into walking robots. These include developing walking robots which can 'learn', see and run.

One very special part of the robot research concerns football-playing robots. On Thursday 29 May, together with the University of Twente, TU Eindhoven and Philips, TU Delft will present the Dutch RoboCup team which is to participate in the 2008 RoboCup Soccer in China this summer.

This presentation will take place at TU Delft during the international Dynamic Walking 2008conference held from 26-29 May. Biomechanics experts, motion scientists and robot experts will come together at this event to exchange expertise on the walking process.

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Related Links
Dynamic Walking 2008
All about the robots on Earth and beyond!






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ROBO SPACE
A Biomimetic Jumping Microrobot
Pasadena CA (SPX) May 27, 2008
Researchers from the Laboratory of Intelligent Systems at EPFL are unveiling a novel, grasshopper-inspired jumping robot at the IEEE International Conference on Robotics and Automation May 21 in Pasadena, California. The robot weighs a miniscule 7 grams, and can jump 1.4 meters, or more than 27 times its body size -- ten times farther for its size and weight than any existing jumping robot ... read more


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