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- Control and collision avoidance for quadrotor drones that operate together with ground robots in cooperative missions - Methods for landing an aerial robot on ground robot carrier in presence
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for conflict detection, collision avoidance, flight-path planning, and rerouting under uncertain and dynamic maritime traffic conditions. Develop perception- and prediction-aware navigation methods that enable
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between drones, perception and collision avoidance, communication effects arising from information sharing, and mechanical interactions during cooperative payload transportation or through physical
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, path planning, trajectory optimisation, conflict detection, or collision avoidance. Experience in model predictive control and multi-agent model predictive control algorithms. Familiarity with
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to the difficulty in recording such collision events offshore. Also, existing collision risk models are simplistic in nature and heavily rely on accurate knowledge of avoidance in birds. The PhD will develop
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, collisions, or ejections. V - Initial grant duration: 12 months V.I - Renewal Possibility: Possibily renewable VI - Funding and financial conditions of the grant VI.I - Monthly grant amount (paid by bank
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