Lecture
Clutter-resilient Autonomous Mobile Robot Navigation
Description
This lecture presents a model-based approach for generating and evaluating maneuvers in cluttered environments without the need for a map, focusing on local navigation using motion templates and sensor space. The instructor explains how the system efficiently navigates through obstacles, adapts to dynamic environments, and maximizes free space, showcasing results of the approach's computational efficiency and effectiveness.
Official source
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