UruBots首次参赛，用开源方案实现搜救机器人目标检测与定位。
RoboCup Rescue 2025 Team Description Paper UruBots
- 基于ROS与SLAM构建导航系统，结合人机交互与感知分割。
- 在模拟搜救环境中实现受害者识别与定位，支持团队协作。
- 开源代码供社区使用，适合新团队入门与技术共享。
本文介绍了UruBots团队参加2025年RoboCup救援机器人联赛的方案。作为首次参赛队伍，我们整合过往竞赛经验与研究成果，开发了一套用于在搜救环境中探测与定位受害者的机器人系统。方法涵盖机器人领域常用技术，如ROS、SLAM、人机交互、分割与感知。系统采用开源模式，面向RoboCup救援社区开放，旨在促进技术交流与共同进步。
原文摘要 · Abstract (English)
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.
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