与动物可以主动识别环境,以及迅速适应受伤情况不同,制造出在遭受损伤后能够恢复的机器人的问题一直困扰着科学家。针对该问题,法国国立计算机与自动化研究所助理研究员Jean-Baptiste Mouret及其同事开发了一种智能试错算法,能让受损的机器人可以迅速恢复其执行任务能力。 In contrast to the fact that animals can proactively identify the environment and adapt rapidly to injuries, the problem of creating robots that can recover after injury has been plagued by scientists. In response to this question, Jean-Baptiste Mouret and his colleagues, an assistant researcher at the French National Institute of Computer and Automation, have developed a smart trial and error algorithm that allows damaged robots to quickly recover their ability to perform tasks.