English

Decentralized Multi-Floor Exploration by a Swarm of Miniature Robots Teaming with Wall-Climbing Units

Robotics 2022-07-19 v1 Multiagent Systems

Abstract

In this paper, we consider the problem of collectively exploring unknown and dynamic environments with a decentralized heterogeneous multi-robot system consisting of multiple units of two variants of a miniature robot. The first variant-a wheeled ground unit-is at the core of a swarm of floor-mapping robots exhibiting scalability, robustness and flexibility. These properties are systematically tested and quantitatively evaluated in unstructured and dynamic environments, in the absence of any supporting infrastructure. The results of repeated sets of experiments show a consistent performance for all three features, as well as the possibility to inject units into the system while it is operating. Several units of the second variant-a wheg-based wall-climbing unit-are used to support the swarm of mapping robots when simultaneously exploring multiple floors by expanding the distributed communication channel necessary for the coordinated behavior among platforms. Although the occupancy-grid maps obtained can be large, they are fully distributed. Not a single robotic unit possesses the overall map, which is not required by our cooperative path-planning strategy.

Keywords

Cite

@article{arxiv.1908.05822,
  title  = {Decentralized Multi-Floor Exploration by a Swarm of Miniature Robots Teaming with Wall-Climbing Units},
  author = {Jabez L. Kit and Audelia G. Dharmawan and David Mateo and Shaohui Foong and Gim Song Soh and Roland Bouffanais and Kristin L. Wood},
  journal= {arXiv preprint arXiv:1908.05822},
  year   = {2022}
}

Comments

Accepted for publication in IEEE-MRS 2019, Rutgers University, New Brunswick (NJ), USA