Localization in Robotics: Practical Methods for Known Maps
Автор: Techlab
Загружено: 2026-02-11
Просмотров: 83
Описание:
Welcome to TechLab !
In this video, we dive deeper into robot localization methods in known environments . We start with the foundation of Markov Localization , then move to Randomized Sampling Localization , and finally explain Monte Carlo Localization (particle filters) — the practical approach used in many real indoor robots.
We also connect these concepts to real-world systems, including how localization is implemented in modern robotics frameworks using particle-based methods.
This tutorial focuses on practical understanding, not heavy math — perfect for beginners, robotics students, and anyone working with mobile robots.
Music by: Bensound
License code: 3M4HSHIPGATGZV84
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