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Results confirm that explicitly coupling traffic prediction with online trajectory replanning enables more adaptive and efficient navigation under time-varying traffic conditions.
A hybrid real-time CPP framework that integrates an offline coverage strategy with an online optimisation and control scheme and achieves improved tracking consistency and smoother trajectories, while maintaining real-time feasibility is presented.
This study introduces a multi agent soft actor-critic (MASAC) framework for UAV path planning and energy aware coordination in a fixed RIS assisted IoT grid, and offers a simulation level benchmark for energy efficient UAV navigation in RIS assisted IoT environments.
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