Multi-UAV Continuum Deformation Flight Optimization in Cluttered Urban Environments
It addresses safe swarm navigation in cluttered urban areas for UAV operators, but the approach is incremental, applying continuum deformation with constraints.
This paper optimizes continuum deformation for a fleet of UAVs to navigate cluttered urban environments while avoiding collisions, using inequality constraints to ensure safety. The method minimizes travel distance and human presence likelihood.
This paper studies collective motion optimization of a fleet of UAVs flying over a populated and geometrically constrained area. The paper treats UAVs as particles of a deformable body, thus, UAV coordination is defined by a homeomorphic continuum deformation function. Under continuum deformation, the distance between individual UAVs can significantly change while assuring the UAVs dont collide, enabling a swarm to travel through the potentially cluttered environment. To ensure inter-agent and obstacle collision avoidance, the paper formulates safety requirements as inequality constraints of the coordination optimization problem. The main objective of the paper is then to optimize continuum deformation of the UAV team satisfying all continuum deformation inequality constraints. Given initial and target configurations, the cost is defined as a weighted sum of the travel distance and distributed cost proportional to the likelihood of the human presence