Exploring Unstructured Environments using Minimal Sensing on Cooperative Nano-Drones
Pedro Arias-Perez, Alvika Gautam, Miguel Fernandez-Cortizas, David Perez-Saura, Srikanth Saripalli, Pascual Campoy

TL;DR
This paper presents ExploreBug, a novel hybrid frontier range bug algorithm enabling nano-drones with minimal sensing to efficiently explore unstructured environments, validated through extensive simulations and real-world experiments.
Contribution
Introduction of ExploreBug, a hybrid exploration algorithm tailored for nano-drones with limited sensing, including collision avoidance and frontier allocation heuristics.
Findings
Efficient exploration with minimal sensing in various obstacle configurations
Successful deployment in real-world experiments with up to three drones
Balanced area coverage among swarm members
Abstract
Recent advances have improved autonomous navigation and mapping under payload constraints, but current multi-robot inspection algorithms are unsuitable for nano-drones due to their need for heavy sensors and high computational resources. To address these challenges, we introduce ExploreBug, a novel hybrid frontier range bug algorithm designed to handle limited sensing capabilities for a swarm of nano-drones. This system includes three primary components: a mapping subsystem, an exploration subsystem, and a navigation subsystem. Additionally, an intra-swarm collision avoidance system is integrated to prevent collisions between drones. We validate the efficacy of our approach through extensive simulations and real-world exploration experiments involving up to seven drones in simulations and three in real-world settings, across various obstacle configurations and with a maximum navigation…
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Taxonomy
TopicsMolecular Communication and Nanonetworks
