Robots Get Internet Cloud Brain: Wikipedia For Robots (Updated)By Nicholas West Running parallel to this initiative is the marriage of robotics with artificial intelligence. The evolution of the humanoid robot is advancing by baby steps, but is coming of age rather quickly; so much so, that many experts see humans completely outsourced to robots by 2045 at the latest, while killer robots will arrive much sooner if not properly managed. Two new developments sought by the European Union are even more startling: a cloud network where robots can do their own research, communicate with one another, and collectively increase their intelligence in a full simulation of human interaction. And a new project in Germany that seeks to translate the open Internet into a suitable robot language to prompt accelerated learning. A project started a few years back makes it clear where the final frontier lies: RoboEarth. A team of scientists from 6 research institutes including Philips electronics and Eindhoven University of Technology in the Netherlands developed a prototype for an Internet Wikipedia For Robots, The project seeks to create robots very own cloud: a vast network, database and computation engine where robots can share information and learn from each other about their behavior and their environment. RoboEarth, then, is cloud storage and computing for robots: its database is intended to store knowledge created by both humans and robots in a robot-readable open format. To date, that knowledge is basic: maps to help mobile robots navigate; task information like how to pick up a cup; and object-recognition data such as digital models of real-world objects. Currently the problem, according to robotics engineers, is that robots can perform well in very limited tasks, as directed, but do not perform well where environments require real-time problem solving and the split-second adaptability that humans can perform. This was made painfully clear in the well-funded DARPA Robotics Challenge, where even the winner was nothing more than a lumbering shell of clunking mechanics that could demonstrate brawn but not brains. And while artificial intelligence has come a long way in raw power to match and even exceed the computational abilities of humans, there is still something severely lacking. The RoboEarth project believes it has identified that lacking component that could give life to robots: family learning essentially the nurture part of the equation where nature can only be mimicked. Once established, some of the autonomous functions that have been implemented will transcend beyond merely self-directed communication, and will enter the sphere of evolutionary intelligence. Also employing the Internet of Things, researchers present the following scenario: RoboEarths proof-of-concept demonstration is simple for humans, but hard for robots: serve fruit juice to a random patient in a hospital bed. In a fake hospital room at Eindhoven Technical University in the Netherlands, one robot mapped out the space, located the patients bed and a nearby carton of juice, then sent that data to RoboEarths cloud. A second robot, accessing the data supplied by robot number one, unerringly picked up the juice and carried it to the bed. Luckily or unfortunately from the researchers point of view the test ultimately failed when the juice was dropped on the way to the patient. Nevertheless, the concept of robotic cloud data transmission and access was seen as a success. This is all being imagined as a way to introduce the concept of robotic family caregivers: The greying population means there is an urgent future need for robots to take over caring or household tasks. To enable robots to successfully lend a mechanical helping hand, they need to be able to deal flexibly with new situations and conditions. For example you can teach a robot to bring you a cup of coffee in the living room, but if some of the chairs have been moved the robot wont be able to find you any longer. Or it may get confused if youve just bought a different set of coffee cups. (Source) RoboHow believes it has the answer to go beyond the concept of RoboEarth by opening up the entire Internet. Think of it as adding robots to the Internet of Things. The initiative is being conducted at the Institute for Artificial Intelligence at the University of Bremen in Germany. RoboHow has to make explicit many parts of complex procedures that humans can simply infer like how to turn on an oven, or where to find needed ingredients. The plan is to eventually enable robots to search the internet for info or instructions they need to complete assigned tasks without external (read: human) intervention. For now, people have to identify, demonstrate and feed RoboHow the right data, as bots left to their own devices would inevitably grab bad or incomplete information. So, it seems that our future robot overlords still need us meatbags around for a little while longer, at least. (Source) The final sentence has become quite typical of these announcements: a bit of gallows humor to short-circuit peoples first instinct to see the creepy, threatening aspects first. Its all just a hilarious joke you see. In reality, learning from others is one of the ways that humans (and other sentient life forms) avoid a very dangerous and often inefficient route to developing their abilities beyond those of an autonomic type. It is an evolutionary construct. When one further examines the move to give robots the same parameters that apply to a survival of the fittest, its not a huge stretch to imagine that the outcome will be a bit more than a pet robot flipping your pancakes or preparing gourmet cuisine at your every whim. For those of us who are intrigued by the power of technology and would like to see it manifest in the most beneficial ways possible, this is one more sign that we must become involved in the dialogue of how this will ultimately be applied. Here are just a few questions to consider; please add your own in the comment section. Main article source: Recently by Nicholas West: Updated: 7/7/2014 