Home /Research /RMF-Owl: A Collision-Tolerant Flying Robot for Autonomous Subterranean Exploration
PERCEPTION

RMF-Owl: A Collision-Tolerant Flying Robot for Autonomous Subterranean Exploration

Paolo De Petris, Huan X. Nguyen, Mihir Dharmadhikari, Mihir Kulkarni, Nikhil Khedekar, Frank Mascarich, Kostas Alexis

Year
2022
Citations
4
Access
Open access

Abstract

This work presents the design, hardware realization, autonomous exploration and object detection capabilities of RMF-Owl, a new collision-tolerant aerial robot tailored for resilient autonomous subterranean exploration. The system is custom built for underground exploration with focus on collision tolerance, resilient autonomy with robust localization and mapping, alongside high-performance exploration path planning in confined, obstacle-filled and topologically complex underground environments. Moreover, RMF-Owl offers the ability to search, detect and locate objects of interest which can be particularly useful in search and rescue missions. A series of results from field experiments are presented in order to demonstrate the system's ability to autonomously explore challenging unknown underground environments.

Keywords

Computer scienceCollisionRobotFocus (optics)Realization (probability)ObstacleMotion planningField (mathematics)Collision avoidanceSearch and rescue

Related papers

Browse all PERCEPTION papers