当机器人仅依靠计算机视觉时,它只能勉强搜索周边的目标。卡耐基-梅隆大学机器人研究所的一名研究人员称,通过利用所有提供给它的信息,例如目标的位置、大小、形状、能否被移动,机器人能通过对目标的不断探索来逐步改善对目标的理解与认知。卡内基梅隆大学的研究人员建立了目标物体数字模型以及图像,然后将这些数据导入机器人管家(HERB)的记忆卡中,因此,机器人能够识别出所需要进行处理的对象。实际上,所有机 When a robot relies solely on computer vision, it can barely search for surrounding objects. A researcher at the Carnegie Mellon Institute of Robotics says that by taking advantage of all the information provided to it, such as the location, size, shape, and movement of the target, the robot can progressively improve its ability to continually explore Objective understanding and cognition. Researchers at Carnegie Mellon University have created numerical models of objects and images of objects and imported them into HERB memory cards so that robots can identify the objects that need to be processed. In fact, all machines