RoboCupレスキュー2025 チーム記述論文 UruBots
RoboCup Rescue 2025 Team Description Paper UruBots
UruBotsチームがRoboCupレスキューリーグ2025に初参加するための、ROSやSLAM、人とロボットの相互作用、セグメンテーションを用いた被災者探索・検出アプローチを紹介する論文。
著者: Kevin Farias, Pablo Moraes, Igor Nunes, Juan Deniz, Sebastian Barcelona, Hiago Sodre, William Moraes, Monica Rodriguez, Ahilen Mazondo, Vincent Sandin, Gabriel da Silva, Victoria Saravia, Vinicio Melgar, Santiago Fernandez, Ricardo Grando
分類: cs.RO
原文アブストラクト
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.
