With the spread of robots in unstructured, dynamic environments, the topic of path replanning has gained importance in the robotics community. Although the number of replanning strategies has significantly increased, there is a lack of agreed-upon libraries and tools, making the use, development, and benchmarking of new algorithms arduous. This paper introduces OpenMORE, a new open-source ROS-based C++ library for sampling-based path replanning algorithms. The library builds a framework that allows for continuous replanning and collision checking of the traversed path during the execution of the robot trajectory. Users can solve replanning tasks exploiting the already available algorithms and can easily integrate new ones, leveraging the library to manage the entire execution.
@article{arxiv.2311.18406,
title = {OpenMORE: an open-source tool for sampling-based path replanning in ROS},
author = {Cesare Tonola and Manuel Beschi and Marco Faroni and Nicola Pedrocchi},
journal= {arXiv preprint arXiv:2311.18406},
year = {2023}
}