Avoiding Collisions in Flocks

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On collision-avoiding initial configurations to Cucker-Smale type flocking models (2012, methodology): “When the communication weight is adopted as a singular type, say 1 rα , α>0, the forcing terms become singular in the original C-S model and its variants [7, 29].”
A General Collision-Avoiding Flocking Framework (2011, background): “Our main result, Theorem 1 below, thus extends the results in both [3] and [8].”
Flocking of multi‐agent dynamical systems with intermittent nonlinear velocity measurements (2012, background): “Recently, the problem of flocking control in multi-agent systems has attracted increasing attention, which can be generally described as how to design distributed feedback algorithms based only on local information to guarantee the whole group to organize into a global flocking behavior [5–30].”
Extension of the Cucker-Smale Control Law to Space Flight Formations (2009, unknown): “3 6:7 10 10 10 [0–300] 35.”
Massive Autonomous UAV Path Planning: A Neural Network Based Mean-Field Game Theoretic Approach (2019, methodology): “In view of this, we adopt the CuckerSmale flocking [1], [14] that reduces the relative velocities for the UAVs.”
Massive UAV-to-Ground Communication and its Stable Movement Control: A Mean-Field Approach (2018, methodology): “The flocking cost follows from the Cucker-Smale (CS) flocking algorithm that guarantees the velocity convergence within a finite time span [10].”