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| Main Authors: | , , , , , |
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| Format: | Preprint |
| Published: |
2024
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| Subjects: | |
| Online Access: | https://arxiv.org/abs/2404.14095 |
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| _version_ | 1866929323996348416 |
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| author | Coloma, Sofía Frantz, Alexandre van der Meer, Dave Skrzypczyk, Ernest Orsula, Andrej Olivares-Mendez, Miguel |
| author_facet | Coloma, Sofía Frantz, Alexandre van der Meer, Dave Skrzypczyk, Ernest Orsula, Andrej Olivares-Mendez, Miguel |
| contents | 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 |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2404_14095 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Immersive Rover Control and Obstacle Detection based on Extended Reality and Artificial Intelligence Coloma, Sofía Frantz, Alexandre van der Meer, Dave Skrzypczyk, Ernest Orsula, Andrej Olivares-Mendez, Miguel Robotics 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 |
| title | Immersive Rover Control and Obstacle Detection based on Extended Reality and Artificial Intelligence |
| topic | Robotics |
| url | https://arxiv.org/abs/2404.14095 |