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Researchers in Japan have developed a robot capable of peeling a banana without crushing the fruit inside.

日本研究人员开发了一种机器人，它能够剥开香蕉皮，而不弄坏里面的香蕉肉。

While the two-armed machine is only successful 57 percent of the time, banana peeling points to a future where machines could do more sensitive, skillful kinds of work.

虽然这种双臂机器的成功率只有57%，但是剥香蕉的操作预示着未来机器人可以做更灵敏和更具技巧性的工作。

Video from researchers at the University of Tokyo showed the robot pick up and peel a banana with both hands in about three minutes.

东京大学研究人员发布的视频显示，这款机器人用双手拿起香蕉并剥皮，整个过程花了大约3分钟时间。

Researchers Heecheol Kim, Yoshiyuki Ohmura and Yasuo Kuniyoshi trained the robot using a "deep imitation learning" process. In this training, they showed the banana-peeling action hundreds of times to the robot to produce enough data for the robot to learn the actions and copy them.

研究人员金熙哲（音）、大村义行和国吉康雄利用“深度模仿学习”程序来训练这台机器人。在训练中，他们向机器人演示了数百次剥香蕉皮的动作，以生成足够多数据供机器人学习并模仿这些动作。

In this case, the banana reached its success rate after more than 13 hours of training.

在这个案例中，经过13多个小时的训练后，该机器人达到了目前的成功率。

While the experiment requires more testing, Kuniyoshi believes his method can teach robots to do different simple "human" tasks.

虽然这项试验需要进行更多测试，但是国吉康雄认为，他们的方法可以教机器人完成各种简单的人类任务。

He hopes the better-trained robots can help with Japan's labor¹ shortage problems, particularly in food-processing factories that currently depend on human workers.

他希望经过更好训练的机器人可以帮助解决日本的劳动力短缺问题，尤其是在目前高度依赖人工的食品加工厂当中。