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

Autor: Coloma, Sofía, Frantz, Alexandre, van der Meer, Dave, Skrzypczyk, Ernest, Orsula, Andrej, Olivares-Mendez, Miguel
Rok vydání: 2024
Předmět:
Zdroj: IEEE VR Conference 2024
Druh dokumentu: Working Paper
Popis: 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
Databáze: arXiv