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Personal Robotics

机译:个人机器人

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Let's face it, the real core of robotics is information processing. What is done with the information a robot gathers truly determines its behavior. At the simplest level, that information could be a series of commands and times to perform them. Even at that level, there is still sensing going on; in this case, we are sensing the ticks of a clock. While this is a great start, watching your robot roll off your desk or ram into a wall because it had no sense of its surroundings gets old really fast. Building a robot that responds to its environment is what people are on a perpetual quest for, but, to do that, we need perception. Typical sensors of the day include photo-resistive, photo-reflective, pyroelectric, optical triangulation, quadrature, and many others; however, if you make a list, you will find many optical sensors out there. Optical sensors are great because they are non-contact - they let you sense something without touching it. Of course, the king of optical sensors is the video camera. Wouldn't it be wonderful to attach a video camera to our robots and just see the world? The problem is, often times, we simply do not have the processing power to accommodate a video signal and, honestly, very often we do not need it.
机译:面对现实,机器人技术的真正核心是信息处理。机器人收集的信息所完成的工作真正决定了其行为。在最简单的级别上,该信息可能是一系列执行它们的命令和时间。即使在这样的水平上,仍然有感觉在继续。在这种情况下,我们正在感应时钟的滴答声。虽然这是一个很好的开始,但看着机器人从桌子上滑下或撞到墙上,是因为它对周围环境毫无感觉,很快就会变旧。人们一直在追求构建一个响应其环境的机器人,但是为此,我们需要感知。如今,典型的传感器包括光阻,光反射,热释电,光学三角测量,正交等。但是,如果您列出清单,则会发现许多光学传感器。光学传感器之所以出色,是因为它们是非接触式的-它们使您无需触摸即可感应到某些东西。当然,光学传感器之王是摄像机。将摄像机安装到我们的机器人上,然后看看世界,这不是很好吗?问题是,很多时候我们根本就没有处理能力来容纳视频信号,老实说,我们经常不需要它。

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