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Immersive Rover Control and Obstacle Detection based on Extended Reality and Artificial Intelligence

Authors :
Coloma, Sofía
Frantz, Alexandre
van der Meer, Dave
Skrzypczyk, Ernest
Orsula, Andrej
Olivares-Mendez, Miguel
Source :
IEEE VR Conference 2024
Publication Year :
2024

Abstract

Lunar exploration has become a key focus, driving scientific and technological advances. Ongoing missions are deploying rovers to the surface of the Moon, targeting the far side and south pole. However, these terrains pose challenges, emphasizing the need for precise obstacles and resource detection to avoid mission risks. This work proposes a novel system that integrates eXtended Reality (XR) and Artificial Intelligence (AI) to teleoperate lunar rovers. It is capable of autonomously detecting rocks and recreating an immersive 3D virtual environment of the location of the robot. This system has been validated in a lunar laboratory to observe its advantages over traditional 2D-based teleoperation approaches

Subjects

Subjects :
Computer Science - Robotics

Details

Database :
arXiv
Journal :
IEEE VR Conference 2024
Publication Type :
Report
Accession number :
edsarx.2404.14095
Document Type :
Working Paper