HADRON: Human-friendly Control and Artificial Intelligence for Military Drone Operations
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arXiv
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| Autores principales: | , , , , , |
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| Formato: | Preprint |
| Publicado: |
2024
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| _version_ | 1866916355914072064 |
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| author | Faulí, Ana M. Casado Malizia, Mario Hasselmann, Ken Flécher, Emile Le De Cubber, Geert Lauwens, Ben |
| author_facet | Faulí, Ana M. Casado Malizia, Mario Hasselmann, Ken Flécher, Emile Le De Cubber, Geert Lauwens, Ben |
| contents | As drones are getting more and more entangled in our society, more untrained users require the capability to operate them. This scenario is to be achieved through the development of artificial intelligence capabilities assisting the human operator in controlling the Unmanned Aerial System (UAS) and processing the sensor data, thereby alleviating the need for extensive operator training. This paper presents the HADRON project that seeks to develop and test multiple novel technologies to enable human-friendly control of drone swarms. This project is divided into three main parts. The first part consists of the integration of different technologies for the intuitive control of drones, focusing on novice or inexperienced pilots and operators. The second part focuses on the development of a multi-drone system that will be controlled from a command and control station, in which an expert pilot can supervise the operations of the multiple drones. The third part of the project will focus on reducing the cognitive load on human operators, whether they are novice or expert pilots. For this, we will develop AI tools that will assist drone operators with semi-automated real-time data processing. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2408_07063 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | HADRON: Human-friendly Control and Artificial Intelligence for Military Drone Operations Faulí, Ana M. Casado Malizia, Mario Hasselmann, Ken Flécher, Emile Le De Cubber, Geert Lauwens, Ben Robotics As drones are getting more and more entangled in our society, more untrained users require the capability to operate them. This scenario is to be achieved through the development of artificial intelligence capabilities assisting the human operator in controlling the Unmanned Aerial System (UAS) and processing the sensor data, thereby alleviating the need for extensive operator training. This paper presents the HADRON project that seeks to develop and test multiple novel technologies to enable human-friendly control of drone swarms. This project is divided into three main parts. The first part consists of the integration of different technologies for the intuitive control of drones, focusing on novice or inexperienced pilots and operators. The second part focuses on the development of a multi-drone system that will be controlled from a command and control station, in which an expert pilot can supervise the operations of the multiple drones. The third part of the project will focus on reducing the cognitive load on human operators, whether they are novice or expert pilots. For this, we will develop AI tools that will assist drone operators with semi-automated real-time data processing. |
| title | HADRON: Human-friendly Control and Artificial Intelligence for Military Drone Operations |
| topic | Robotics |
| url | https://arxiv.org/abs/2408.07063 |