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paradigms enables drones to dynamically adapt their actions based on environmental feedback and past experiences. The PhD candidate will develop innovative planning algorithms which exploit elements
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feedback and past experiences. The PhD candidate will develop innovative planning algorithms which exploit elements of robotic learning. The research will especially focus on planning for small drones
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PhD Position Integrated Planning and Learning for Drones PhD Position Integrated Planning and Learning for Drones Published Deadline Location yesterday 12 Jun Delft Job description Drones have
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/tracking for drones and drone swarms in heterogeneous radar networks. Experimentally validate methods using numerical simulations and in-situ observations. Collaborate with another PhD student within
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We seek a motivated PhD student to work on a 4-year NWO funded project called DARE (Distributed and Adaptive Radar for Enhanced Sensing and Classification). The goal of this project is to work
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for drone operation. The PhD research will include a holistic approach, including the design of the embedded system, including drones, and the design of communication and sensing methods. Requirements
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at university level on a project entitled ‘DAP/24-09 GRAND’ (GNSS-free Autonomous Navigation of Drones) and it is explicitly the objective to perform a PhD. in collaboration with the VUB in the context
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drones will see data coming at high data rates. This novel approach will transform our vast lighting infrastructure into the backbone for drone operation. The PhD research will include a holistic approach
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Université Gustave Eiffel / IFSTTAR - Site de Marne-la-Vallée | Champs sur Marne, le de France | France | about 4 hours ago
a Research Infrastructure? No Offer Description Main host Laboratory: COSYS-GRETTIA Main location: Paris area, France Doctoral affiliation: UNIVERSITE GUSTAVE EIFFEL PhD school: MATHEMATIQUES ET
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and test a new drone-based methane emissions measurement system. The work will focus on various aspects of measurement system design and testing, including assessing different sensing and hardware