Coordinated Motion Planning Through Randomized k-Opt

Paul Liu, Jack Spalding-Jamieson, Brandon Zhang, Da Wei Zheng

This paper examines the approach taken by team gitastrophe in the CG:SHOP 2021 challenge. The challenge was to find a sequence of simultaneous moves of square robots between two given configurations that minimized either total distance travelled or makespan (total time). Our winning approach has two main components: an initialization phase that finds a good initial solution, and a $k$-opt local search phase which optimizes this solution. This led to a first place finish in the distance category and a third place finish in the makespan category.

Knowledge Graph

arrow_drop_up

Comments

Sign up or login to leave a comment