Simultaneous Localization and Mapping using particle filters
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Updated
Jan 10, 2020 - TeX
Simultaneous Localization and Mapping using particle filters
Final Thesis for my MSc. in Computer Science & Engineering @ AI and Robotics Lab, Politecnico di Milano.
My Master Thesis done while researching at MIT Media Lab
Repositorio que contiene mi memoria de título: "Creación de algoritmo SLAM 3D para robot móvil autónomo en ambientes controlados" para optar al título de Ingeniero Civil Informático de la UTFSM
SLAM implementation in ROS using RTAB-Map technique
Qualitative test of SLAM solutions for large scale indoor mapping and localisation
Exposé zur Bachelorarbeit Range Only Simultaneous Localization and Mapping with Ultra-Wideband
This interdisciplinary project aims to develop an autonomous delivery system inspired by the Indus- try 4.0 paradigm, with a focus on SLAM (Simultaneous Localization and Mapping), Navigation, and Voice Bot technology. The project envisions a future where society functions with minimal human intervention, enhancing operational efficiency and safety.
A sample of academic article build with Latex
Autonomous navigation for mobile robots using SLAM
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