Abstract
Localization is a fundamental capability for autonomous robots, enabling them to operate effectively in dynamic environments. In Robocon 2025, accurate and reliable localization is crucial for improving shooting precision, avoiding collisions with other robots, and navigating the competition field efficiently. In this paper, we propose a hybrid localization algorithm that integrates classical techniques with learning based methods that rely solely on visual data from the court's floor to achieve self-localization on the basketball field.
Abstract (translated)
本地化是自主机器人的一项基本能力，使其能够在动态环境中有效运行。在Robocon 2025中，精确且可靠的定位对于提高投篮精度、避免与其他机器人碰撞以及高效地导航比赛场地至关重要。本文提出了一种融合传统技术与基于学习的方法的混合定位算法，该方法仅依赖于球场地板上的视觉数据，在篮球场上实现自我定位。
URL
https://arxiv.org/abs/2601.08713
