MS Thesis: Collision-Free Robot Navigation (Speed-Aware A*)
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Conducted a research thesis focused on collision-free robot navigation by manually annotating and categorizing warehouse paths, robot routes, obstacle data, and speed zones. Collected and prepared large simulation image datasets for experimentation in AI-driven navigation algorithms. Ensured consistency, accuracy, and domain-relevant labeling practices throughout the annotation workflow. • Labeled warehouse paths and robot navigation routes for simulation datasets • Categorized obstacle zones and speed regions for AI experiments • Used CVAT for precise path and region annotation • Applied rigorous accuracy standards for structured simulation data
Conducted a research thesis focused on collision-free robot navigation by manually annotating and categorizing warehouse paths, robot routes, obstacle data, and speed zones. Collected and prepared large simulation image datasets for experimentation in AI-driven navigation algorithms. Ensured consistency, accuracy, and domain-relevant labeling practices throughout the annotation workflow. • Labeled warehouse paths and robot navigation routes for simulation datasets • Categorized obstacle zones and speed regions for AI experiments • Used CVAT for precise path and region annotation • Applied rigorous accuracy standards for structured simulation data
2021 - 2023