Cooperation in the Air: A Learning-Based Approach for the Efficient Motion Planning of Aerial Manipulators

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Hyoin Kim, Hoseong Seo, Clark Youngdong Son, Hyeonbeom Lee, Suseong Kim, H. Jin Kim

Published: 2018, Last Modified: 14 Jan 2026IEEE Robotics Autom. Mag. 2018EveryoneRevisionsBibTeXCC BY-SA 4.0
Abstract: Cooperation among multiple aerial vehicles could provide a solution for overcoming limited payload restrictions. Multiple aerial vehicles can carry a heavy or large object safely by sharing the load, alleviating the risk involved in exerting considerable inertia on a single vehicle.