Better speeds and paths for drones via optimization.
Researchers Change Trajectory of Drones for the Better
University of Illinois at Urbana-Champaign
Aaron Seidlitz, October 20, 2022
The University of Illinois at Urbana-Champaign's Kris Hauser, Gao Tang, and Weidong Sun have improved unmanned aerial vehicles' ability to navigate around obstacles via multi-level optimization. Said Hauser, "The basic idea is that you can separately optimize the shape of the path and the speed along it, but since how fast you can fly depends on the shape of the path, these two components are intimately coupled. Our novel formulation treats this as a bilevel optimization problem, in which the speed optimization is nested inside the shape optimization as an inner subproblem." Hauser said experiments proved the method "is faster and significantly more numerically stable than optimizing both the shape and the speed simultaneously." .... '
No comments:
Post a Comment