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Main Authors: Boldrer, Manuel, Kamler, Michal, Ahmad, Afzal, Saska, Martin
Format: Preprint
Published: 2026
Subjects:
Online Access:https://arxiv.org/abs/2603.08379
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author Boldrer, Manuel
Kamler, Michal
Ahmad, Afzal
Saska, Martin
author_facet Boldrer, Manuel
Kamler, Michal
Ahmad, Afzal
Saska, Martin
contents We present a communication-free method for safe multi-robot coordination in complex environments such as forests with dense canopy cover, where GNSS is unavailable. Our approach relies on an onboard anisotropic 3D LiDAR sensor used for SLAM as well as for detecting obstacles and neighboring robots. We develop a novel perception-aware 3D navigation framework that enables robots to safely and effectively progress toward a goal region despite limited sensor field-of-view. The approach is evaluated through extensive simulations across diverse scenarios and validated in real-world field experiments, demonstrating its scalability, robustness, and reliability.
format Preprint
id arxiv_https___arxiv_org_abs_2603_08379
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Perception-Aware Communication-Free Multi-UAV Coordination in the Wild
Boldrer, Manuel
Kamler, Michal
Ahmad, Afzal
Saska, Martin
Robotics
We present a communication-free method for safe multi-robot coordination in complex environments such as forests with dense canopy cover, where GNSS is unavailable. Our approach relies on an onboard anisotropic 3D LiDAR sensor used for SLAM as well as for detecting obstacles and neighboring robots. We develop a novel perception-aware 3D navigation framework that enables robots to safely and effectively progress toward a goal region despite limited sensor field-of-view. The approach is evaluated through extensive simulations across diverse scenarios and validated in real-world field experiments, demonstrating its scalability, robustness, and reliability.
title Perception-Aware Communication-Free Multi-UAV Coordination in the Wild
topic Robotics
url https://arxiv.org/abs/2603.08379