ROSYJan 25, 2022

Real-Time Deployment of a Large-Scale Multi-Quadcopter System (MQS)

arXiv:2201.10509v14 citations
Originality Incremental advance
AI Analysis

This addresses the problem of safe and efficient coordination for drone swarms in dynamic environments, representing an incremental improvement with specific control guarantees.

The paper tackles real-time deployment of a large-scale multi-quadcopter system between moving configurations in 3D space, achieving collision avoidance and bounded rotor speeds through a decomposed continuum mechanics-based approach.

This paper presents a continuum mechanics-based approach for real-time deployment (RTD) of a multi-quadcopter system between moving initial and final configurations arbitrarily distributed in a 3-D motion space. The proposed RTD problem is decomposed into spatial planning, temporal planning and acquisition sub-problems. For the spatial planning, the RTD desired coordination is defined by integrating (i) rigid-body rotation, (ii) one-dimensional homogeneous deformation, and (ii) one-dimensional heterogeneous coordination such that necessary conditions for inter-agent collision avoidance between every two quadcopter UAVs are satisfied. By the RTD temporal planning, this paper suffices the inter-agent collision avoidance between every two individual quadcopters, and assures the boundedness of the rotor angular speeds for every individual quadcopter. For the RTD acquisition, each quadcopter modeled by a nonlinear dynamics applies a nonlinear control to stably and safely track the desired RTD trajectory such that the angular speeds of each quadcopter remain bounded and do not exceed a certain upper limit.

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