Connected Reconfiguration of Polyominoes Amid Obstacles using RRT*
Abstract
This paper investigates the use of a sampling-based approach, the RRT*, to reconfigure a 2D set of connected tiles in complex environments, where multiple obstacles might be present. Since the target application is automated building of discrete, cellular structures using mobile robots, there are constraints that determine what tiles can be picked up and where they can be dropped off during reconfiguration. We compare our approach to two algorithms as global and local planners, and show that we are able to find more efficient build sequences using a reasonable number of samples, in environments with varying densities of obstacles.
Cite
@article{arxiv.2207.01282,
title = {Connected Reconfiguration of Polyominoes Amid Obstacles using RRT*},
author = {Javier Garcia and Michael Yannuzzi and Peter Kramer and Christian Rieck and Aaron T. Becker},
journal= {arXiv preprint arXiv:2207.01282},
year = {2022}
}
Comments
Nine pages, nine figures. (Updated) full version of an extended abstract that is published in the proceedings of the 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2022)