Real-Time Localization Framework for Autonomous Basketball Robots
Naren Medarametla, Sreejon Mondal
arXiv 2026
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.
