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++; Knowledge of motor drivers and configuration; Experience with mechatronics design; Knowledge of cameras and LIDAR acquisition; Theoretical understanding of common algorithms used for navigation e.g. SLAM
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a project that involves simultaneous localization and mapping (SLAM) algorithms and deep learning object detection. The successful candidate will work with Prof. Danwei Wang and a group of Research
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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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. Prior experience in ROS/ROS2. Experience in Robotics algorithms such as Sensor Fusion, SLAM, Navigation, Modelling, Control, Manipulation. Excellent knowledge of the English language (written and verbal
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of data models such as logical / relational models, dimensional models and document models. Knowledge and experience with terrestrial and SLAM-based lidar data acquisition and data processing. Knowledge
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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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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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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