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Field
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and help shape the future of safe autonomous systems. Description of the project This project aims to develop novel strategies for safe and adaptive navigation of autonomous mobile robots in dynamic
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Project details: Global Navigation Satellite Systems (GNSS) support a wide range of applications, from smartphone navigation to autonomous vehicles. The global GNSS market is substantial, with
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Research theme: Control Engineering, Robotics How to apply: https://uom.link/pgr-apply-2425 UK only This 3.5-year PhD studentship is open to Home (UK) applicants. The successful candidate will
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need for reliable and autonomous offshore infrastructure inspection and surveillance. The project integrates unmanned aerial vehicles (UAVs), unmanned surface vehicles (USVs), and unmanned underwater
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autonomous unmanned systems see growing deployment in real-world settings, swarms of these systems are becoming essential for accomplishing tasks that cannot be handled by a single robot. In challenging
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and pose estimation from ultrasound video, as well as designing a closed-loop robotic system for autonomous ultrasound scanning and navigation. In addition, the candidate will support the dataset
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decisions. The resulting route planning solutions will support improved navigational safety, operational resilience and reduced emissions both for conventional and autonomous vessels. The research will be
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the following research areas providing a template for relevant directions: - Field Robotics with a focus on Arctic Environments - Autonomous Navigation and Motion Planning in Sensor-Degraded Disaster Environments
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the following research areas providing a template for relevant directions: - Field Robotics with a focus on Arctic Environments - Autonomous Navigation and Motion Planning in Sensor-Degraded Disaster Environments
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NTNU and the application process here. About the position The aim of this PhD project is to develop explainable physics-informed RNNs for autonomous navigation and neural observer design within