Most robots are not, and will likely not, be humanoids 10 years from now as robots are designed for a range of behaviors in a plethora of environments, their bodies and physical abilities will reflect a best fit for those characteristics. For the purposes of this article, and considering the definition above, I argue that these types of machines are a class of mobile robot. There’s also some debate as to whether the term robot includes innovations such as autonomous vehicles, drones, and other similar machines.
Some researchers might even argue against a set definition for robot, or debate whether a definition can be relative or dependent upon the context of a situation, such as the concept of “privacy” this might be a better approach as more and more rules and regulations are created around their use in varying contexts.
Though at first this might seem simple, it’s no easy task to come to an agreement on just what a robot is and what it is not, even amongst roboticists. For the sake of this article, I’ll borrow an abbreviated definition of “robot” from this article on the Carnegie Mellon CS Department website: While only a portion of recent developments in robotics can be credited to developments and uses of machine learning, I’ve aimed to collect some of the more prominent applications together in this article, along with links and references.īefore I delve into machine learning in robotics, go ahead and define “robot”.
So how much of a place is there for machine learning in robotics? As the term “machine learning” has heated up, interest in “robotics” (as expressed in Google Trends) has not altered much over the last three years.
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