[2404.14095] Immersive Rover Control and Obstacle Detection based on Extended Reality and Artificial Intelligence
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Computer Science > Robotics

arXiv:2404.14095 (cs)
[Submitted on 22 Apr 2024]

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

Authors:Sofía Coloma, Alexandre Frantz, Dave van der Meer, Ernest Skrzypczyk, Andrej Orsula, Miguel Olivares-Mendez
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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: Robotics (cs.RO)
Cite as: arXiv:2404.14095 [cs.RO]
  (or arXiv:2404.14095v1 [cs.RO] for this version)
  https://doi.org/10.48550/arXiv.2404.14095
Journal reference: IEEE VR Conference 2024

Submission history

From: Sofia Coloma Dr. [view email]
[v1] Mon, 22 Apr 2024 11:28:34 UTC (2,822 KB)
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