It may become a game changer. This game changer is coming again from Israel. It’s about robotics. Yesterday VonNaftali reported about a game chaning new technology from Israel: The combination of biological sensor with a roboter.
Now, the robots from tomorrow may learn without complicated instructions, but just by watching. The Israeli start-up ‘Deep Learning Robotics’ from Benyamina (Israel) explains in its press release: “Deep Learning Robotics (DLR) is proud to unveil a game-changing breakthrough in the field of robotics with the launch of its new robot control software.
This innovative software -introduced for the first time at DLR’s CES booth in Las Vegas last week- allows users to teach robots tasks in the most natural and intuitive way possible – by simply demonstrating the task.
DLR’s advanced machine learning algorithms enable robots to learn by observing and mimicking human actions, eliminating the need for complex instructions. The user-friendly interface and adaptability to a wide range of robots and applications, from industrial manufacturing to home automation, makes it accessible for anyone to teach robots new tasks.
“We are excited to introduce this cutting-edge technology to the world,” said Aviv Vana, Marketing Director of DLR. “Our goal is to make it easy for anyone to unlock the full potential of robots, regardless of technical expertise. This revolutionary software will greatly expand the use and application of robots in various industries.”
Deep Learning Robotics’ (DLR) software controller unlocks robotics with visual intelligence–called speed-of-sight automation.
DLR eliminates the need for programming robots through sophisticated artificial intelligence that combines deep learning, computer vision, and motion control algorithms to perceive the environment as a 3-D map in real time.
With the ability to differentiate between the human hand and the objects being handled, end-users’ demonstrations are automatically translated into robot control language. This intuitive task-teaching process is independent of any specific robot hardware.