发表机构
Sapienza University of Rome; Institute for Cognitive Sciences and Technologies (ISTC-CNR); International University of Rome; University of Bologna（罗马第一大学; 认知科学与技术研究所（ISTC-CNR）; 罗马国际大学; 博洛尼亚大学）
机构由 AI 辅助整理，请以论文原文为准。AI 中文总结
针对机器人世界杯比赛，提出基于神经符号架构的自动体育解说方案，弥合运动跟踪与自然语言生成差距，能在直播和赛后生成统计数据与解说，适应不同机器人共享场地的联赛新动态。
AI 中文摘要
机器人世界杯一直是开发解决现实世界问题系统的场景。受与2050年国际足联世界杯冠军比赛这一主要目标驱动，机器人世界杯足球联赛需要不断衡量研究界的进展。从比赛视频中计算视觉统计数据是追踪这一进展的关键方式。为应对这一挑战，本文引入了一种用于机器人世界杯比赛的完全自主、实时体育解说员。通过弥合原始运动跟踪与自然语言生成之间的差距，我们的神经符号架构从视频流中提取精确统计数据，并将其转化为流畅、无幻觉的叙述。该系统能够在比赛直播和赛后分析中生成统计数据和解说，轻松适应联赛中不同尺寸人形机器人共享场地的新动态。补充材料可在该https网址获取。
英文摘要
RoboCup has always been a scenario to develop systems that solve real-world problems. Driven by the main goal of playing against the 2050 FIFA World Cup champions, the RoboCup Soccer leagues need to constantly measure how the research community is progressing. Computing visual statistics from match videos is a crucial way to track this evolution. To address this challenge, this paper introduces a fully autonomous, real-time sports commentator for RoboCup matches. By bridging the gap between raw kinematic tracking and natural language generation, our neuro-symbolic architecture extracts precise statistics from video streams and turns them into fluent, hallucination-free narration. The proposed system is capable of generating statistics and commentary both during live match streaming and in post-game analysis, easily adapting to the new dynamism of the league where different humanoid robots of different sizes share the field. Supplemental materials are available at https://lab-rococo-sapienza.github.io/MARIO/
CommentsPoster presentation at RoboCup Symposium 2026
