SOURCE-LINKED INTELLIGENCE
A Switched Adaptive Control Framework for Aerial Manipulators Under Dynamic Transitions
Aerial manipulators represent the forefront of aerial robotics. Although potentially capable of complex interaction tasks, controlling aerial manipulators throughout the dynamic transitions occurring during task execution presents significant challenges. Abrupt or discontinuous changes in system dynamics generated by the transitions suggest the use of a switched approach, yet the available aerial manipulation methods are not designed for coping with switched regimes. In addition, most available methods fall short in coping with the tight couplings between the aerial vehicle and the manipulator
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T15:29:56.000Z
First collected: 2026-09-23T06:11:12.848Z. This is not the publication date.