Skip to Main content Skip to Navigation
Conference papers

Atlas: Exploration and Mapping with a Sparse Swarm of Networked IoT Robots

Abstract : Exploration and mapping is a fundamental capability of a swarm of robots: robots enter an unknown area, explore it, and collectively build a map of it. This capability is important regardless of whether the robots are crawling, flying,or swimming. Existing exploration and mapping algorithms tend to either be inefficient, or rely on having a dense swarm of robots.This paper introduces Atlas, an exploration and mapping algorithm for sparse swarms of robots, which completes a full exploration even in the extreme case of a single robot. We developan open-source simulator and show that Atlas out performs the state-of-the-art in terms of exploration speed and completeness of the resulting map.
Complete list of metadata

Cited literature [8 references]  Display  Hide  Download
Contributor : Thomas Watteyne Connect in order to contact the contributor
Submitted on : Tuesday, August 18, 2020 - 8:11:05 AM
Last modification on : Wednesday, September 28, 2022 - 3:06:12 PM
Long-term archiving on: : Tuesday, December 1, 2020 - 7:33:01 PM


Files produced by the author(s)


  • HAL Id : hal-02916797, version 1



Razanne Abu-Aisheh, Francesco Bronzino, Myriana Rifai, Brian Kilberg, Kris Pister, et al.. Atlas: Exploration and Mapping with a Sparse Swarm of Networked IoT Robots. Wi-DroIT 2020 - Workshop on Wireless Sensors and Drones in Internet of Things, Jun 2020, Los Angeles, CA / Virtual, United States. ⟨hal-02916797⟩



Record views


Files downloads