Parametrised collision-free optimal motion planning algorithms in Euclidean spaces
Cesar A. Ipanaque Zapata, Jesús González · arXiv (Cornell University) · 2021
We describe parametrised motion planning algorithms for systems controlling objects represented by points that move without collisions in an even dimensional Euclidean space and in the presence of up to three obstacles with \\emph{a priori} unknown positions. Our algorithms are optimal in the sense that the parametrised local planners have minimal posible size.