[RAM2018] Cooperation in the Air: A Learning-based Approach for the Efficient Motion Planning of Aerial Manipulators

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.

Bibtex

@article{kim2018cooperation,
  title={Cooperation in the air: A learning-based approach for the efficient motion planning of aerial manipulators},
  author={Kim, Hyoin and Seo, Hoseong and Son, Clark Youngdong and Lee, Hyeonbeom and Kim, Suseong and Kim, H Jin},
  journal={IEEE Robotics \& Automation Magazine},
  volume={25},
  number={4},
  pages={76--85},
  year={2018},
  publisher={IEEE}
}