Robots can be more versatile if they have legs instead of wheels, but programming a robot to walk is no simple task. Instead of expecting the machine to pick up such complex coordination all at once, it might he easier if the goal were broken down into several simpler movements that could be learned in a series, building on each other. But how can this be done? Josh Bongard, a computer scientist at the University of Vermont,thinks one way is to have the robots themselves start out with simpler bodies that grow more complex over time.
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机译：如果机器人具有腿而不是轮子，则可以具有更多的用途，但是对机器人进行编程并不是一件容易的事。如果不希望机器一次完成如此复杂的协调工作，而是将目标分解为几个可以相互学习的更简单的动作，可能会更容易。但是，这怎么办呢？佛蒙特大学（University of Vermont）的计算机科学家乔什·邦加德（Josh Bongard）认为，一种方法是让机器人本身以更简单的物体开始，随着时间的推移，它们变得越来越复杂。
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