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Details A brain-computer interface (BCI) provides a direct communication pathway between a human brain and an external device. Using appropriate sensors and data processing algorithms, a BCI maps patterns
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with UAVs for tackling wildfires, including modular, scalable methods with respect to the volume of collected data, to the number of UAVs, data sampling rates, number of sensors, centralised
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-Time Structural Health Monitoring (SHM): Sensor-integrated ML models will be developed to analyze real-time data from installed wind turbine towers, enabling early fault detection and predictive
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Bragg sensors. Demonstration for evaluating the developed snake robot and its navigation and localisation strategies. We are seeking talented candidates with: First or upper second-class degree in
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. A typical candidate will have experience in the following areas: advanced AI algorithms (e.g., generative AI, diffusion models), human touch sensing and tactile sensor development, robotics control
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. A typical candidate will have at least two years of experience in the following areas: advanced AI algorithms (e.g., generative AI, diffusion models), human touch sensing and tactile sensor
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manipulation strategies. Develop intelligent algorithms for the robotic execution of contact-rich manipulation tasks, enhancing adaptability, precision, and efficiency in a manufacturing context. Collaborate
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, audio, and sensor data), and deploying solutions in real-world environments, particularly in robotics-focused applications. Familiarity with robotics concepts such as SLAM, sensor fusion, visual odometry
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novel contributions to the field of computer vision and deep learning in smart manufacturing. These novel algorithms will then be integrated on to a mobile robotic system that will inform the design and
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, path finding and routing algorithms, sense of direction, human computer interaction, cognitive navigation, intelligent mobility, and artificial intelligence. Sensor fusion and Signals of Opportunity We