Artificial Intelligence for Robotics in Aerospace Technologies
| dc.contributor.advisor | Bérczes, Tamás Márton | |
| dc.contributor.author | Ben Aissa, Rayhane | |
| dc.contributor.department | DE--Informatikai Kar | |
| dc.date.accessioned | 2025-02-22T23:08:10Z | |
| dc.date.available | 2025-02-22T23:08:10Z | |
| dc.date.created | 2024-11-18 | |
| dc.description.abstract | This thesis provides a well-rounded exploration of AI's role in aerospace robotics, focusing on autonomous satellite navigation and docking. It effectively utilizes advanced techniques like computer vision, SLAM, Model Predictive Control, and A* path planning to address challenges such as obstacle avoidance and precise docking in microgravity. The work integrates simulation and real-world considerations, presenting a comprehensive methodology and strong experimental results. Overall, it highlights AI's transformative potential in enhancing autonomy and efficiency in aerospace applications. | |
| dc.description.course | Mérnökinformatikus | |
| dc.description.degree | BSc/BA | |
| dc.format.extent | 48 | |
| dc.identifier.uri | https://hdl.handle.net/2437/387491 | |
| dc.language.iso | en | |
| dc.rights.access | Hozzáférhető a 2022 decemberi felsőoktatási törvénymódosítás értelmében. | |
| dc.subject | Artificial Intelligence | |
| dc.subject | Aerospace | |
| dc.subject.dspace | Informatics::Computer Science | |
| dc.title | Artificial Intelligence for Robotics in Aerospace Technologies |
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