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mobile base, an arm, a gripper, a learned policy, a safety module). Each agent runs its own specialized solver and is coordinated to a common, dynamically feasible plan through distributed optimization and
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-connected mode or in islanded mode; • Guarantee power quality that meets stability, security, and service continuity requirements; • Maintain their performance despite climatic variations, power disturbances
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that remain valid despite uncertainties in the drone and camera models. Incorporate air traffic rules and safety requirements into the mathematical optimization framework. - Optimization and Learning: Optimize
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communications that are viable, efficient and compatible with physical and human reality. Our work is based on mathematical and computer theories for the development of models and algorithms, validated by hardware
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with physical and human reality. Our work is based on mathematical and computer theories for the development of models and algorithms, validated by hardware and software implementations. By relying