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) Development of methods and algorithms to create and update digital maps in forest environment; 2) Development of SLAM algorithm and map representation that facilitates the use of different sensors and sensor
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the future of smart, sustainable mobile machinery. We are now looking for Doctoral Researcher for a project of real-time multimodal perception for sensor fusion on a mobile working machine. Job Description
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of autonomous machines Multirobot sensor fusion and motion planning Empirical research, technology piloting, validation, and industrial-scale deployment have an important role in this position. If successful, you
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. Science objectives: 1) To develop methods of building traversability costs from real-time sensor data for a given machine and sensor modality; 2) To develop framework for rigorous and efficient integration
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Sciences. The research work will focus on developing a scalable, robust positioning framework by integrating GNSS and emerging LEO-PNT signals with distributed AI and multimodal sensor data. The researcher
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on sustainable electronics materials and fabrication processes, flexible and stretchable electronics, self-powered sensor nodes, and heterogenous integration. We are excited to announce an opening for a motivated
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reconstruction, semi-supervised semantic labelling of 3D environments, sensor fusion, and modelling of dynamic environments. The doctoral candidate will also be involved in dissemination through social media
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such as earth with different sizes of rocks. 2) Development of advanced control algorithms integrated with force and loss models to prevent overloads and hazardous situations, ensuring operational
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of Information Technology. We investigate and develop methods, theories, and technologies for digitalized data and the information centric society. Strong mathematical, algorithmic, and computational thinking and