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localization and mapping (SLAM) algorithm development & implementation for the firefighting scenarios where the noises caused by fire and water spray can degrade the mainstreamed SLAM algorithms severely
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Machine Learning (ML) algorithm and 3D SLAM for automotive robot navigation etc Job Requirements: A Ph.D degree in Electrical & Electronics Engineering or Computer Engineering Relevant experience and
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robotic manipulator and an omnidirectional autonomous Automated Guided Vehicle Work involves SLAM and perception algorithm development, sensor fusion, test rig set-up, and experimental validation Job
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algorithms fusing multiple navigation and sensor sources with SLAM for handling of edge cases in vehicle navigation. Implement optimal path planning strategies to achieve efficient inspection coverage
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. Hands-on experience in specialized transcriptomic/RNA-centric sequencing methods, such as SLAM-seq, TT-seq, Ribo-seq, PRO/GRO-seq, eClip/PAR-CLIP/RIP-seq, long-read RNA sequencing, including library