用AI实时生成机器人足球赛解说，自动提取数据并叙述比赛
An LLM-Based Automatic Sportscast Solution for Robot Soccer Matches
- 神经符号架构融合运动追踪与语言生成，实现端到端解说
- 支持实时直播与赛后分析，可处理不同体型人形机器人同场竞技
- 无幻觉自然语言输出，适配快速演进的机器人足球联赛
RoboCup一直是解决现实问题系统研发的重要场景。为实现2050年世界杯冠军的终极目标，RoboCup足球联赛需持续评估研究进展。从比赛视频中计算视觉统计量是跟踪这一演进的关键方式。本文提出一种完全自主、实时的机器人足球赛事解说系统。通过连接原始运动轨迹数据与自然语言生成，我们的神经符号架构能从视频流中提取精确统计数据，并转化为流畅、无幻觉的解说内容。该系统支持在比赛直播和赛后分析中生成统计信息与解说，可灵活适应联赛中新出现的不同体型人形机器人同场竞技的动态变化。补充材料见 https://lab-rococo-sapienza.github.io/MARIO/
原文摘要 · Abstract (English)
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/
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