“They think like us”: these robots with an artificial brain work whole days with 90 % less energy

Recent technological advances in the field of robotics have made it possible to design a robotic navigation system inspired by the human brain. For example, offering impressive energy efficiency. Consequently, The Queensland University of Robotics Center (QUT) has developed this innovative system. Therefore, which could transform the way in which autonomous robots operate in various environments. In addition, This system. Consequently, baptized Locational Encoding with Neuromorphic Systems (LENS)uses less than 10 % of “they think like us”: these the energy that conventional systems consume, opening the way to more sustainable and efficient applications.

The foundations of neuromorphic computer science

Neuromorphic computer science. In addition, at the heart of this innovation, is directly inspired by the effectiveness of the human brain. Meanwhile, In critical missions such as research and rescue operations, exploration of seabed or space trips, energy is a crucial resource. In addition, Classic navigation systems are energy delicious, thus limiting their duration and scope of operation. However, On the other hand. Moreover, the Lens system uses the power of neuromorphic computers To reduce the energy needs for visual location up to 99 %, allowing robots to operate much longer with a limited source of energy.

Dr Adam Hines. neuroscientist and principal author, stresses that although neuromorphic systems are known for their efficiency, their complexity has often slowed their adoption in the real world. Thanks to Lens. which “they think like us”: these has demonstrated its ability to recognize locations throughout an 8 km journey with remarkable efficiency, the situation could change. In addition, the system requires only 180 ko of storage, a space almost 300 times smaller than that of other systems.

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A “they think like us”: these combination of innovative technologies

The impressive efficiency of robots equipped with. Lens results from the combination of advanced technologies. Among them, a event camera plays a crucial role. Unlike traditional cameras that capture a complete image at all times, this camera continuously detects changes and movements each microsecond. This process imitates the functioning of human vision by detecting variations in light at the Pixel level. thus facilitating the Visual recognition of premises.

Movement data data is then processed by a pointing neural network inspired by the brain. integrated into low -consumption chip, all contained in a compact system. Professor Michael Milford. co-author of the study, underlines that this research represents an advance to energy-efficient robotic systems while providing users with the performance and endurance required for various applications.

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Potential applications. future prospects

The possibilities offered by the LENS system are large. In the near future. it could be equipped on various robots, allowing a more exhaustive mapping of disaster sites, prolonged exploration of other planets or sustainable surveillance of marine environments. Research. development in the field of neuromorphic systems are experiencing rapid expansionpromising significant advances in the energy efficiency and the capacities of robots.

Companies like Intel invest in this technology. with the launch “they think like us”: these of Hala Point, the largest neuromorphic computer system in the world, aimed at making artificial intelligence more sustainable. This brain -inspired system treats information 50 times faster while consuming 100 times less energy than other systems. These advances illustrate the potential of neuromorphic computers to revolutionize the domain of robotics.

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Implications for the “they think like us”: these robotics industry

With these new technologies. the robotics industry is at the dawn of a major transformation. Robotic navigation systems inspired by the human brain Promise to push the limits of what these machines can achieve. while drastically reducing their energy impact. The ability to operate longer with less energy could not only expand the range of possible missions. but also make robots more accessible and economic for various industries.

Faced with these innovations. researchers and industrialists are encouraged to explore new applications for these technologies, ranging from logistics and the management of infrastructure to scientific research in the field. The question remains: how will these advances transform our interaction with daily robotic technology. and what new opportunities could offer for the future?

The author relied on artificial intelligence to enrich this article.

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