首页|Data on Robotics Reported by Researchers at Sun Yat-sen University (Orb-neurosla m: a Brain-inspired 3-d Slam System Based On Orb Features)
Data on Robotics Reported by Researchers at Sun Yat-sen University (Orb-neurosla m: a Brain-inspired 3-d Slam System Based On Orb Features)
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By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Robotics are presented i n a new report. According to news reporting originating in Shenzhen, People’s Re public of China, by NewsRx journalists, research stated, “Intelligent navigation is a fundamental technology that enables unmanned systems to achieve autonomy i n the intelligent era. However, existing navigation schemes suffer from high com putational complexity and power consumption, as well as low robustness in comple x or unknown environments.” Financial support for this research came from National Natural Science Foundatio n of China (NSFC). The news reporters obtained a quote from the research from Sun Yat-sen Universit y, “To address these challenges, this article proposes a novel 3-D brain-inspire d simultaneous localization and mapping (SLAM) method, called oriented FAST and rotated BRIEF (ORB)-NeuroSLAM, based on the ORB features. The proposed method ta kes inspiration from the robust and low-power navigation capabilities of humans and animals. The ORB-NeuroSLAM leverages the ORB features of camera images to co mpute robot self-motion and visual cues. Then, continuous attractor neural netwo rks (CANNs) model multilayered head-direction cells and 3-D grid cells that exis t in animal brains. These cells are utilized jointly to represent the robot pose s. Efficient and robust methods for loop closure detection and experience map co nstruction were also developed. The proposed method was verified on ten KITTI da ta sets, and experimental results demonstrate that it outperforms state-of-the-a rt brain-inspired SLAM methods in terms of accuracy and efficiency.”
Shenzhen, People’s Republic of China, As ia, Emerging Technologies, Machine Learning, Robot, Robotics, Sun Yat-sen Univer sity
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