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'There is an active group of researchers here at Google who are interested in cloud robotics,' he says. Why can’t robots do the same?Īs a side project, he's now exploring a variety of cloud robotics ideas at Google, including 'using small mobile devices as Net-enabled brains for robots,” he told me. Kuffner, who currently works on Google’s self-driving car project, realized that running computing tasks on the cloud is often much more effective than trying to do it locally.

Now cloud robotics seeks to push that idea to the next level, exploiting the cheap computing power and ubiquitous Net connectivity available today. Back in the 1990s, Masayuki Inaba at the University of Tokyo explored the concept of a “remote brain,” as he called it, physically separating sensors and motors from high-level “reasoning” software. The idea of connecting a robot to an external computer is not new. Using the cloud, a robot could improve capabilities such as speech recognition, language translation, path planning, and 3D mapping. Now imagine a “Robot Goggles” application, Kuffner suggested a robot would send images of what it is seeing to the cloud, receiving in return detailed information about the environment and objects in it. You snap a picture of a painting at a museum or a public landmark and Google sends you information about it. Even more promising, the robots could turn to cloud-based services to expand their capabilities.Īs an example, he mentioned the Google service known as Google Goggles. As a result, sophisticated systems like humanoid robots need to carry powerful computers and large batteries to power them.Īccording to Kuffner, cloud robotics could offload CPU-heavy tasks to remote servers, relying on smaller and less power-hungry onboard computers. Kuffner described the possibilities of cloud robotics at the IEEE International Conference on Humanoid Robots, in Nashville, Tenn., this past December. Embracing the cloud could make robots “lighter, cheaper, and smarter,” he said in his talk, which created much buzz among attendees.įor conventional robots, every task-moving a foot, grasping an object, recognizing a face-requires a significant amount of processing and preprogrammed information.

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The robot could simply send an image of the cup to the cloud and receive back the object’s name, a 3-D model, and instructions on how to use it, says James Kuffner, a professor at Carnegie Mellon currently working at Google who coined the term “cloud robotics.” Imagine a robot that finds an object that it's never seen or used before-say, a plastic cup.

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This approach, which some are calling 'cloud robotics,' would allow robots to offload compute-intensive tasks like image processing and voice recognition and even download new skills instantly, Matrix-style. Several research groups are exploring the idea of robots that rely on cloud-computing infrastructure to access vast amounts of processing power and data.

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In the first “Matrix” movie, there’s a scene where Neo points to a helicopter on a rooftop and asks Trinity, “Can you fly that thing?” Her answer: “Not yet.” Then she gets a “pilot program” uploaded to her brain and they fly away.įor us humans, with our non-upgradeable, offline meat brains, the possibility of acquiring new skills by connecting our heads to a computer network is still science fiction. Cloud Robotics will make robots smaller, cheaper, and smarter, says a Google researcher.