Distributed multi-robot formation control in dynamic environments

Author:

Alonso-Mora JavierORCID,Montijano Eduardo,Nägeli Tobias,Hilliges Otmar,Schwager Mac,Rus Daniela

Funder

Office of Naval Research

Boeing

Singapore-MIT Alliance for Research and Technology Centre

The Netherlands Organisation for Scientific Research

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence

Reference50 articles.

1. Alonso-Mora, J., Knepper, R. A., Siegwart, R., & Rus, D. (2015a). Local motion planning for collaborative multi-robot manipulation of deformable objects. In: IEEE international conference on robotics and automation.

2. Alonso-Mora, J., Montijano, E., Schwager, M., & Rus, D. (2016). Distributed multi-robot navigation in formation among obstacles: A geometric and optimization approach with consensus. In IEEE international conference on robotics and automation.

3. Alonso-Mora, J., Baker, S., & Rus, D. (2017). Multi-robot formation control and object transport in dynamic environments via constrained optimization. The International Journal of Robotics Research, 36(9), 1000–1021.

4. Alonso-Mora, J., Nägeli, T., Siegwart, R., & Beardsley, P. (2015b). Collision avoidance for aerial vehicles in multi-agent scenarios. Autonomous Robots, 39(1), 101–121.

5. Augugliaro, F., Schoellig, A. P., & D’Andrea, R. (2012). Generation of collision-free trajectories for a quadrocopter fleet: A sequential convex programming approach. In: IEEE/RSJ international conference on intelligent robots and systems.

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