Benchmarking Tether-based UAV Motion Primitives
Xuesu Xiao, Jan Dufek, Robin Murphy

TL;DR
This paper introduces and evaluates two tether-based motion primitives for tethered UAVs, enabling autonomous navigation in GPS-denied environments using only proprioception, and demonstrates their effectiveness through physical experiments.
Contribution
It proposes novel tether-based motion primitives for autonomous tethered UAV flight, leveraging tether feedback for navigation without GPS or vision.
Findings
Motion primitives enable autonomous path execution
Benchmarking shows effective navigation performance
Tether feedback enhances UAV safety and autonomy
Abstract
This paper proposes and benchmarks two tether-based motion primitives for tethered UAVs to execute autonomous flight with proprioception only. Tethered UAVs have been studied mainly due to power and safety considerations. Tether is either not included in the UAV motion (treated same as free-flying UAV) or only in terms of station-keeping and high-speed steady flight. However, feedback from and control over the tether configuration could be utilized as a set of navigational tools for autonomous flight, especially in GPS-denied environments and without vision-based exteroception. In this work, two tether-based motion primitives are proposed, which can enable autonomous flight of a tethered UAV. The proposed motion primitives are implemented on a physical tethered UAV for autonomous path execution with motion capture ground truth. The navigational performance is quantified and compared.…
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Taxonomy
TopicsRobotic Path Planning Algorithms · Robotics and Sensor-Based Localization · UAV Applications and Optimization
