DLR Launches Ground-breaking Robot Control Software
BINYAMINA, Israel - Jan. 17, 2023 - PRLog -- 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." Get ready to experience the future of robotics with DLR's new robot control software, now available for purchase and compatible with a range of robotic platforms. Visit https://www.dlrob.com for more information and to learn how you can revolutionize your industry with DLR. This is still being done manually by hundreds of thousands of workers. The traditional technologies cannot automate this task due to the changing nature of objects being handled and packing formats.
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Deep Learning Robotics (DLR) Teams with FANUC to Provide Compatibility Between DLR's Smart Robot Learning Technology and FANUC's Industrial Robots
CAESAREA, Israel - Aug. 24, 2020 - PRLog -- Deep Learning Robotics Ltd., a leading technology company in the field of autonomous robotic learning, announced its partnership with Fanuc Israel, a subsidiary of the multinational automation company based in Japan. As a first stage, Deep Learning Robotics developed compatibility between its state-of-the art smart robot learning controller and FANUC's industrial robots, and ran a proof of concept application using one of FANUC's collaborative robots. Carlos Benaim, CEO of Deep Learning Robotics, said, "This is an important partnership that will unveil significant business opportunities for both parties in the future. Our cutting edge robot learning technology and patents combined with Fanuc's leadership in the area of industrial robots and automation will bring both companies to a uniquely advantageous position worldwide in the growing market of smart robotics." Deep Learning Robotics has already completed a number of successful applications for the electronics industry and the food processing industry. Both sectors currently have a much lower density of robotic arms per employee than the automotive one. DLR firmly believes that its technology will be a key enabling factor allowing these important sectors to benefit from unprecedented levels of robotic automation.
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Deep Learning Robotics Granted New Patent from U.S. Patent Office for Robotic Learning
CAESAREA, Israel - June 11, 2020 - PRLog -- Deep Learning Robotics Ltd., a leading technology company focused on robotics and automation solutions, announced that the United States Patent and Trademark Office has granted the company a new patent, No. US10,571,896. This robotic learning patent covers methods and components enabling a robot to autonomously improve its own performance by closely analyzing data associated to its previous actions and those of other robots, and is intended to protect Deep Learning Robotics' core technology platform. "We are very proud to have been granted this new, significant patent," said Deep Learning Robotics CEO, Carlos Benaim. "This achievement underlines the innovation in the work our team is doing, and sets us apart in the field of robotics. Now, our technologies related to robots that learn from humans, and also to robots that learn from themselves, are protected by solid patents. Ultimately, this brings us closer to the reality we envision in which robots learn from humans how to manage certain tasks and constantly improve as they do so, so that humans can do more of the creative, impactful work we do best."
OBSERVE. LEARN. AUTOMATE.
Deep Learning Robotics Receives Notice of Allowance from USPTO for Robotic Visual Learning Patent
The robotic vision-based learning patent covers methods and components enabling a robot to autonomously learn tasks by closely observing humans performing them
ASHDOD, Israel - Jan. 28, 2018 - PRLog -- Deep Learning Robotics Ltd., a leading technology company focused on robotics and automation solutions, announced that the United States Patent and Trademark Office has granted the company a Notice of Allowance US Patent No. 9,753,453 entitled "Natural Machine Interface System." This robotic vision-based learning patent covers methods and components enabling a robot to autonomously learn tasks by closely observing humans performing them, and is intended to protect Deep Learning Robotics' core technology platform. "The granting of this patent for a method that enables humans to teach robots tasks in a natural way validates the innovative work being done by our talented R&D team," said Carlos Benaim, CEO of Deep Learning Robotics. "While expanding our overall intellectual property portfolio, this new patent also solidifies the potential long-term market exclusivity of our unique autonomous learning platform for robots. We firmly believe that robots able to learn from humans will revolutionize the world as we know it, automating physical work performed by humans today, and freeing up time for us to think, create and develop ourselves and our societies."