Tether-Inertial Localization for Planetary Drones

Journal Article (2026)
Author(s)

Dielof van Loon (Student TU Delft)

Anton Bredenbeck (TU Delft - Aerospace Engineering)

Lennart Puck (European Space Agency (ESA))

Martin Azkarate (European Space Agency (ESA))

Salua Hamaza (TU Delft - Aerospace Engineering)

Research Group
Control & Simulation
DOI related publication
https://doi.org/10.1109/LRA.2026.3723306 Final published version
More Info
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Publication Year
2026
Language
English
Research Group
Control & Simulation
Journal title
IEEE Robotics and Automation Letters
Issue number
10
Volume number
11
Pages (from-to)
11458-11465
Page Views
25
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Abstract

Recent developments in planetary exploration have shown the potential of Uncrewed Aerial Vehicles (UAVs), such as the Ingenuity helicopter that provided valuable mapping data. However, limited payload capabilities constrain the flight times and compute available for localization which restrict their applicability. By providing a tethered connection, issues such as battery and computational constraints are offloaded to the base rover. At the same time, the cable can be exploited for non-drifting localization. This work presents a novel Tether-Inertial Localization approach that uses tether length, and angle measurements to estimate the UAV position relative to its base. The method combines a computationally efficient analytical catenary model with a Gaussian Process (GP) residual error compensation. This accounts for systematic sensor inaccuracies and model limitations. Experimental validation across circular, triangular, and figure-eight trajectories with tether lengths up to 4.5 m and a total flight time of 37 minutes demonstrates the effectiveness of the proposed approach. Using only tether-based position estimates for feedback, the analytical catenary model achieves an average RMSE of 7.4 cm, which is further reduced to 5.2 cm through GP-based residual compensation, one order of magnitude better than the state-of-the-art. These results establish Tether-Inertial Localization as a practical alternative to vision- and GNSS-based localization for Tethered Uncrewed Aerial Vehicles (TUAVs).

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