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on Tuesday 12 May 2026 Reference: PHD-DVC26-05 Project Title: Robotic Systems for UK Horticulture: Developing Safe, Validated Interaction Frameworks for Autonomous Crop Harvesting Primary supervisor: Dr Sven
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explore autonomous mobile robotic solutions, capable of both detection and localisation of emissions. The work will focus on hydrogen, which is increasingly important as a fuel in decarbonised energy
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, implementation and field deployment of an autonomous drone solutions for agricultural applications, including crop spraying, monitoring and precision farming tasks. This position is not tied to a specific R&D
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tuition fees. This PhD project in the area of autonomy, navigation and artificial intelligence, aims to advance the development of intelligent and resilient navigation systems for autonomous transport
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3D environments. • Design of a robust control architecture to ensure autonomous navigation using information from the optical localization system (development of estimation algorithms, use of observers
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(UNIBO, Italy) Supervisors: Prof. Anna Guerra, Dr. Francesco Guidi Project Context: Autonomous agents navigating complex environments rely on sensed data to build internal representations of the world and
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many industries (e.g., oil and gas, offshore platforms, wind turbines, fisheries, aquaculture, agriculture, manufacturing, energy sector). These systems should be capable of autonomously navigating
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sector). These systems should be capable of autonomously navigating, exploring, mapping and performing inspection, maintenance and repair (IMR) operations more robustly and for longer periods in unknown
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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