Aerial Manipulation Using Hybrid Force and Position NMPC Applied to Aerial Writing
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Abstract (arXiv)
Aerial manipulation aims at combining the manoeuvrability of aerial vehicles with the manipulation capabilities of robotic arms. This, however, comes at the cost of the additional control complexity due to the coupling of the dynamics of the two systems. In this paper we present a NMPC specifically designed for MAVs equipped with a robotic arm. We formulate a hybrid control model for the combined MAV-arm system which incorporates interaction forces acting on the end effector. We explain the practical implementation of our algorithm and show extensive experimental results of our custom built system performing multiple aerial-writing tasks on a whiteboard, revealing accuracy in the order of millimetres.
Key facts. Cited by 3 papers in the map (data through 14 Oct 2026). First posted on arXiv 3 Jun 2020.
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Citing papers per year: 2022: 1; 2023: 0; 2024: 0; 2025: 0; 2026: 2.
3 papers.
- 2022Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensingcited by 0
- 2026AI-Enabled Image-Based Hybrid Vision/Force Control of Tendon-Driven Aerial Continuum Manipulatorscited by 0
- 2026Training Generalist Navigation Policies via Action Self-Distillationcited by 0
- 2026Training Generalist Navigation Policies via Action Self-Distillation13 Oct 2026
- 2026AI-Enabled Image-Based Hybrid Vision/Force Control of Tendon-Driven Aerial Continuum Manipulators21 Apr 2026
- 2022Learning Variable Impedance Control for Aerial Sliding on Uneven Heterogeneous Surfaces by Proprioceptive and Tactile Sensing28 Jun 2022