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What are the key factors to consider when designing a motion planning algorithm for a UAV with a tether? 


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When designing a motion planning algorithm for a UAV with a tether, several key factors must be considered. These include optimizing trajectory planning for a marsupial robotic system with a non-taut tether to ensure synchronized collision-free paths for the UAV, UGV, and tether . Additionally, the concept of multiple UAVs on a shared tether (MUST) introduces increased flexibility through probabilistic path-planning algorithms and a model for interactions among tether weight, size, and power . Improving traditional RRT algorithms by considering UAV dynamic constraints, generating alternative nodes, and applying B-spline curve smoothing enhances planning speed and route quality, ensuring high flightability . Furthermore, minimizing flight energy consumption in dynamic jamming environments involves formulating an energy consumption minimization problem and utilizing a communication-flight-corridor-based initial path generation method for reliable trajectory optimization . These factors collectively contribute to efficient and obstacle-free trajectory planning for UAVs with tethers.

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Papers (4)Insight
Open accessProceedings ArticleDOI
30 May 2021
4 Citations
Key factors include UAV, UGV, and tether positions, obstacle avoidance, temporal constraints, robot limitations, and untensed tether state. The optimization-based method ensures collision-free and smooth trajectories.
Not addressed in the paper.
Key factors include selecting nodes based on distance to target, considering UAV dynamic constraints for waypoint expansion, generating alternative nodes, and applying B-spline curve smoothing for improved route quality.
Key factors include collision-free path planning for UAV and UGV, considering 3D environment and tether, and optimizing trajectories with temporal constraints, velocities, accelerations, and tether clearance.

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