The Flight Assembled Architecture installation: Cooperative construction with flying machines

By Frederico Augugliaro, Sergei Lupashin, M. Hamer, Cason Male, Markus Hehn, Mark Wilfried Mueller, J. Willmann, Fabio Gramazio, Matthias Daniel Kohler, Raffaello D'Andrea. IEEE Control Systems, 2014

310 citations recorded by the source corpus.

Subfields: Building and Construction, Computer Vision and Pattern Recognition, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/31d03b13f7e9ec070b6866cc65d1c80383870b73

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Vision and Pattern Recognition

1. Shimon Whiteson
2. Christian Schröder de Witt
3. Bei Peng
4. Wendelin Böhmer
5. Philip H. S. Torr
6. Pierre-Alexandre Kamienny
7. Evsen Yanmaz
8. Samira Hayat

In Mechanical Engineering

1. Philip H. S. Torr
2. Wendelin Böhmer
3. Pierre-Alexandre Kamienny
4. Shimon Whiteson
5. Bei Peng
6. Christian Schröder de Witt

Citations in the corpus

• Deep Multi-Agent Reinforcement Learning for Decentralized Continuous Cooperative Control (2020, background): “Cooperative manipulation tasks arise in autonomous aerial construction (Augugliaro et al., 2013; 2014), industrial manufacturing (Caccavale & Uchiyama, 2008), and agricultural robotics (Shamshiri et al., 2018) and have so far received comparatively little attention from the deep RL community.”
• Survey on Unmanned Aerial Vehicle Networks for Civil Applications: A Communications Viewpoint (2016, methodology): “Thus accuracy in the order of millimeters is required while the building blocks are being placed at the destined locations [59], [123], [124], [146].”