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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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previous hands-on experience with Simultaneous Localization and Mapping (SLAM) technologies, ROS, photogrammetry, and the integration of sensors. You are attracted by the prospect of collaborating with
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localization and mapping (SLAM) for future connected vehicular systems within the EU-funded MSCA doctoral networks ISLANDS ( https://www.islands-mscadoctoralnetwork.eu/ ). ISLANDS is a doctoral training network
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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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into plot mapping using computer vision techniques such as SLAM, object detection and segmentation. We are searching for candidates presenting: (i) Good oral and written communication skills, including
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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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Foundation Trust (SLaM). The project is co-led by Professor Claire Henderson and Dr Shubulade Smith. Completing an ACD involves stating, in advance, aspects of your care, including preferences, wishes for and
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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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the Mental Health Act (MHA) throughout the South London and Maudsley NHS Foundation Trust (SLaM). The project is co-led by Professor Claire Henderson and Dr Shubulade Smith. Completing an ACD involves stating
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Post-Doctoral Research Associate/ Post-Doctoral Research Fellow in the Department of Health Services
of Advance Choice Documents (ACDs) for people previously detained under the Mental Health Act (MHA) throughout the South London and Maudsley NHS Foundation Trust (SLaM). The project is co-led by Professor