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This study addresses the critical challenge of propeller downwash affecting continuum manipulators on multirotor UAVs, quantifying kinematic deviations near walls and ground surfaces. By developing a Gaussian process regression model trained on experimental data, researchers significantly improve forward pose prediction accuracy for these soft-robotic aerial systems. The work provides essential modeling techniques to enable reliable operation of compliant robotic arms in confined or hazardous environments where airflow interference is significant.
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An Experimental Study of Downwash Effects on a Continuum Manipulator Integrated with a Multirotor UAV

arXiv2 min read

arXiv:2608.18507v1 Announce Type: new Abstract: Continuum arm aerial manipulation systems leverage soft-manipulator compliance and dexterity for tasks in confined or hazardous environments, but propeller downwash can degrade performance, particularly near walls and the ground. This effect remains uncharacterized for continuum manipulators. This letter experimentally studies downwash-induced kinematic deviations of a tendon-driven continuum manipulator integrated with a multirotor platform. Under still-air conditions, the CM is compared with a constant-curvature (CC) model. Downwash- induced end-effector pose deviations are then quantified relative to the mean still-air experimental baseline at four propeller throttle levels in free space, and at maximum throttle near a wall, and near the ground. Vertical position and yaw show the largest deviations and are amplified by ground effect. A CC-guided Gaussian process regression (GPR) residual model is learned from experimental data that improves forward pose prediction RMSE (position by 89-95%, orientation by 47-79%), and support compensation-oriented, downwash-aware modeling of continuum arm aerial manipulation systems.

Abstract:Continuum arm aerial manipulation systems leverage soft-manipulator compliance and dexterity for tasks in confined or hazardous environments, but propeller downwash can degrade performance, particularly near walls and the ground. This effect remains uncharacterized for continuum manipulators. This letter experimentally studies downwash-induced kinematic deviations of a tendon-driven continuum manipulator integrated with a multirotor platform. Under still-air conditions, the CM is compared with a constant-curvature (CC) model. Downwash- induced end-effector pose deviations are then quantified relative to the mean still-air experimental baseline at four propeller throttle levels in free space, and at maximum throttle near a wall, and near the ground. Vertical position and yaw show the largest deviations and are amplified by ground effect. A CC-guided Gaussian process regression (GPR) residual model is learned from experimental data that improves forward pose prediction RMSE (position by 89-95%, orientation by 47-79%), and support compensation-oriented, downwash-aware modeling of continuum arm aerial manipulation systems.

Robotics (cs.RO)

arXiv:2608.18507 [cs.RO]

(or arXiv:2608.18507v1 [cs.RO] for this version)

https://doi.org/10.48550/arXiv.2608.18507 Focus to learn more arXiv-issued DOI via DataCite (pending registration)

IEEE Robotics and Automation Letters, vol. 11, no. 9, pp. 10704-10711, Sept. 2026

https://doi.org/10.1109/LRA.2026.3709580 Focus to learn more DOI(s) linking to related resources

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Full text under the publisher's open licence · 265 words

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