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Columbia University researchers have developed a robot that can learn a picture of its complete body from scratch through human intervention without anyone's help. This is the first time in the history of robotics that a robot has been able to create a mental model of itself. The robot demonstrating its direction nearer to the point is a key initial phase in developing something almost identical to self-thought. Self-modeling is a primitive form of self-awareness.
Robots passing cognitive tests such as recognizing themselves in a mirror and being programmed with a human sense of time are showing how machines are being shaped to become a bigger part of our everyday lives. These robotic arms built a kinematic model of themselves, which is then utilized in various circumstances to plan movements, accomplish tasks, and avoid obstacles. Even damage to its body was automatically detected, repaired, and then detected again.
Researchers believe their robotic arm is the first robot that can see itself and the robotic arm with cameras and feed the video directly into the robot's "neural network" – its AI mind. The robotic arm could accurately model itself in 3D space with a 1% error margin. The robot squirmed and twisted to learn how its body moved in response to varied motor inputs, much like a child experiencing itself for the first time in a hall of mirrors.
The researchers show how their robot constructed a kinematic model of itself and then utilized that model to plan movements, attain goals, avoid obstacles, and identify & repair body damages in a range of settings. The robot observed itself for three hours and tracked its own position in space using data points The research team later added 10,000 more data points using a simulation.
The robot's self-awareness is Perhaps not unlike our natural human ability to see in our mind's eye whether our body could fit through a narrow passage, without actually trying it out in reality. In addition, robots can build models themselves without assistance from engineers has significant implications and robot offers opportunities for self-regulated preventative and predictive maintenance in addition to labor savings.
Self-reliance could be advantageous in some circumstances, including the capacity to withstand its wear and tear and the capacity to make up for harm. This research is part of Lipson's, mechanical engineering professor and head of Columbia's Creative Machines Lab, decades-long effort to develop ways to give robots self-awareness. Fears of AI networks overpowering mankind won't be relieved by an agile robot that can react to surroundings. A robot continually displaying itself, simultaneous with development, will be the ensuing gigantic bit nearer to a robot with self-insight.
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