{"id":58421,"date":"2025-06-25T08:59:37","date_gmt":"2025-06-25T12:59:37","guid":{"rendered":"https:\/\/www.rudebaguette.com\/?p=58421"},"modified":"2025-06-20T09:01:19","modified_gmt":"2025-06-20T13:01:19","slug":"this-robot-thinks-like-a-brain-new-navigation-system-slashes-power-use-by-90-and-keeps-it-running-for-days","status":"publish","type":"post","link":"https:\/\/www.rudebaguette.com\/en\/2025\/06\/this-robot-thinks-like-a-brain-new-navigation-system-slashes-power-use-by-90-and-keeps-it-running-for-days\/","title":{"rendered":"\u201cThis Robot Thinks Like a Brain\u201d: New Navigation System Slashes Power Use by 90% and Keeps It Running for Days"},"content":{"rendered":"
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IN A NUTSHELL<\/strong><\/td>\n<\/tr>\n
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  • \ud83d\udd0b LENS<\/strong> is a brain-inspired navigation system that operates using less than 10% of the energy of traditional systems.<\/li>\n
  • \ud83e\udde0 Utilizes neuromorphic computing<\/strong> to drastically reduce energy needs for visual localization by up to 99%.<\/li>\n
  • \ud83d\udcf7 Employs an event camera<\/strong> to mimic human visual processing, enhancing efficiency and recognition capabilities.<\/li>\n
  • \ud83d\ude80 Promises to expand the operational range and duration of robots in applications like disaster recovery and planetary exploration.<\/li>\n<\/ul>\n<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<\/figure>\n

    The latest advancements in robotics are bringing us closer to a future where machines can navigate the world with the efficiency and energy conservation akin to the human brain. Researchers at the QUT Centre for Robotics have unveiled a groundbreaking navigation system known as Locational Encoding with Neuromorphic Systems<\/strong> (LENS). This innovative system promises to revolutionize how autonomous robots operate by drastically reducing energy consumption. By mimicking the brain’s efficiency, LENS uses less than 10% of the energy required by conventional systems, paving the way for robots that can operate longer and explore further without the need for frequent recharging.<\/p>\n

    Understanding Neuromorphic Computing<\/h2>\n

    Neuromorphic computing is a game-changer for robotics, especially in energy-intensive applications such as search and rescue missions, deep-sea exploration, and space travel. Traditional navigation systems consume significant amounts of power, which limits the operational range and duration of robots. Neuromorphic computing, however, addresses this issue by cutting down the energy needs for visual localization by up to 99%. This advancement is critical for extending the operational capabilities of robots. Dr. Adam Hines, a leading neuroscientist, emphasizes the potential of neuromorphic systems, which, although known for their efficiency, have been challenging to deploy in practical applications until now. LENS demonstrates this potential by accurately recognizing locations along a nearly 5-mile route with a storage footprint almost 300 times smaller than current systems.<\/p>\n

    \u201cFlies and Rolls on Two Actuators\u201d: Scientists Build Shape-Shifting Robot That Defies Mobility Engineering Norms<\/a><\/p><\/blockquote>\n