RoboCup Rescue 2025 Team Description Paper UruBots
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arXiv
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| Autori principali: | , , , , , , , , , , , , , , |
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| Natura: | Preprint |
| Pubblicazione: |
2025
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| _version_ | 1866913791776653312 |
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| author | Farias, Kevin Moraes, Pablo Nunes, Igor Deniz, Juan Barcelona, Sebastian Sodre, Hiago Moraes, William Rodriguez, Monica Mazondo, Ahilen Sandin, Vincent da Silva, Gabriel Saravia, Victoria Melgar, Vinicio Fernandez, Santiago Grando, Ricardo |
| author_facet | Farias, Kevin Moraes, Pablo Nunes, Igor Deniz, Juan Barcelona, Sebastian Sodre, Hiago Moraes, William Rodriguez, Monica Mazondo, Ahilen Sandin, Vincent da Silva, Gabriel Saravia, Victoria Melgar, Vinicio Fernandez, Santiago Grando, Ricardo |
| contents | This paper describes the approach used by Team UruBots for participation in the 2025 RoboCup Rescue Robot League competition. Our team aims to participate for the first time in this competition at RoboCup, using experience learned from previous competitions and research. We present our vehicle and our approach to tackle the task of detecting and finding victims in search and rescue environments. Our approach contains known topics in robotics, such as ROS, SLAM, Human Robot Interaction and segmentation and perception. Our proposed approach is open source, available to the RoboCup Rescue community, where we aim to learn and contribute to the league. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2504_09778 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | RoboCup Rescue 2025 Team Description Paper UruBots Farias, Kevin Moraes, Pablo Nunes, Igor Deniz, Juan Barcelona, Sebastian Sodre, Hiago Moraes, William Rodriguez, Monica Mazondo, Ahilen Sandin, Vincent da Silva, Gabriel Saravia, Victoria Melgar, Vinicio Fernandez, Santiago Grando, Ricardo Robotics This paper describes the approach used by Team UruBots for participation in the 2025 RoboCup Rescue Robot League competition. Our team aims to participate for the first time in this competition at RoboCup, using experience learned from previous competitions and research. We present our vehicle and our approach to tackle the task of detecting and finding victims in search and rescue environments. Our approach contains known topics in robotics, such as ROS, SLAM, Human Robot Interaction and segmentation and perception. Our proposed approach is open source, available to the RoboCup Rescue community, where we aim to learn and contribute to the league. |
| title | RoboCup Rescue 2025 Team Description Paper UruBots |
| topic | Robotics |
| url | https://arxiv.org/abs/2504.09778 |