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the advert will be removed once the position has been filled. As autonomous unmanned systems see growing deployment in real-world settings, swarms of these systems are becoming essential
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and continuous assurance (continuously monitoring and testing frequently updated systems) of primarily autonomous navigation systems (ANS) and secondary external situation awareness (ESA). This will
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areas providing a template for relevant directions: Field Robotics with a focus on Extreme Environments 1. Navigation through unknown environments - Rapid dynamics-based planning - Semantic-based
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the following research areas providing a template for relevant directions: Field Robotics with a focus on Extreme Environments 1. Navigation through unknown environments - Rapid dynamics-based planning - Semantic
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forward to receiving your application. Join us 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
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doctoral degree from UiA. Project description Legged robots are vital for autonomous operations in environments where wheeled platforms cannot function, such as CERN’s experimental caverns. Their ability
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experimentally verified results is a necessary: Research Topics: Learning-Based Autonomous Systems for Field Robotics Reinforcement learning-based navigation Multi-agent coordination and communication-aware
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unpredictable terrain, unknown obstacles, in season changing working scenarios, and a range of weather conditions that can impair autonomous navigation and operation and limit reliability. Additionally
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the development of autonomous, snake-inspired robots capable of robust locomotion across complex and uncertain environments. Drawing inspiration from biological snakes, the research combines soft and flexible
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originating from the global navigation satellite systems (GNSS) when they are reflected from the Earth’s surface, we can deduce information about the area from which signals are reflecting from. For signals