In this paper, we analyze the coordination problem
of groups of aerial robots for assembly applications. With
the enhancement of aerial physical interaction, construction
applications are becoming more and more popular. In this
domain, the multi-robot solution is very interesting to reduce
the execution time. However, new methods to coordinate teams
of aerial robots for the construction of complex structures are
required. In this work, we propose an assembly planner that
considers both assembly and geometric constraints imposed
by the particular desired structure and employed robots,
respectively. An efficient graph representation of the task depen-
dencies is employed. Based on this framework, we design two
assembly planning algorithms that are robust to robot failures.
The first is centralized and communication-based. The second is
distributed and communication-less. The latter is a solution for
scenarios in which the communication network is not reliable.
Both methods are validated by numerical simulations based on
the assembly scenario of Challenge 2 of the robotic competition
MBZIRC2020.
Dettaglio pubblicazione
2020, Proceedings of the International Conference on Unmanned Aircraft Systems (ICUAS), 2020, Pages 279-288
Communication-based and Communication-less approaches for Robust Cooperative Planning in Construction with a Team of UAVs (04b Atto di convegno in volume)
Umili Elena, Tognon Marco, Sanalitro Dario, Oriolo Giuseppe, Franchi Antonio
Gruppo di ricerca: Robotics
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