Lei feng's network have already published reports of rescue robots, robots will one day appear in dangerous places to replace firefighters for high-risk operations. But before that, people need to solve is, how to make it in a stable state, even if injured in the robot can still work.
Now this problem has been solved, sixth from Paris University and United States researchers at the University of Wyoming team developed a method, allowing robots quickly adapt to the injured State within two minutes after the injury, and continues execution.
This is a new machine learning algorithms, the technology in a walking on six legs "spider" robots and mechanical arms were proven, the future is expected to help scientists develop more robust, efficient and autonomous robots.
In the experiment, developers interested in removing the "spider" of one or more legs, start robots to move about easily, but after a while, will adapt to the legs of the robot, use another way to move on.
Researcher says, developed this algorithm is inspired by the animals. Animals in the fall after the disabled, will be to accommodate this disability in all of the rest of the time, culminating in a relatively comfortable way. Researchers trying to apply this approach to robots. Hermes iPhone
This needs to find a mathematical model of human adaptability, can learn to program robots to "adapt". University of Wyoming's developer Jeff Clune described in the journal nature, the algorithm consists of two parts.
A MAP-Elites map of the first part was to develop algorithms.
The second part is the Bayesian optimization algorithm, used to make robots exclude poor walking posture. Hermes iPhone 6 Plus leather case
Although I do not quite understand what is going on, but researchers said the main advantage of this method is that the robot intelligently, first robot know that his body is in good condition, wait until the robot was injured, it will automatically try different ways to walk until you find the best way. In addition, if you know the technology, please leave a discussion, or direct to the net contribution of Lei feng.
This technology helps to develop robot for high risk more effectively, with the algorithm, the robot not only at the time of the injury can be adjusted, but also in the case of physical integrity can also cope better with emergencies.
In the future, the risk may not really need humans rushed to the front lines of disaster relief operations. Lei feng's network Atlas was introduced the robot should need this technology, although it will be a cock, but also often fall.
via dailymail
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