Autonomous Navigation
Autonomous navigation involves robots moving and making decisions without human intervention, utilizing onboard sensors and algorithms. The chapter covers fundamental techniques such as line-following, obstacle avoidance, path planning, and localization strategies, which are crucial in real-world applications like self-driving cars and delivery drones.
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Sections
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3.2Example
What we have learnt
- Autonomous navigation enables robots to move and make decisions without external control.
- Basic techniques include line-following and obstacle avoidance.
- Advanced algorithms like A* and SLAM significantly enhance navigation and localization capabilities.
Key Concepts
- -- Autonomous Navigation
- The ability of a robot to move through an environment independently using sensors and decision-making algorithms.
- -- Line Following
- A navigation technique where robots use IR sensors to detect and follow a predefined path.
- -- Obstacle Avoidance
- Techniques utilized by robots to detect and navigate around obstacles using sensors.
- -- Path Planning
- The process of determining the most efficient route from a starting point to a destination.
- -- Localization
- The estimation of a robot's position within its environment.
- -- SLAM (Simultaneous Localization and Mapping)
- An advanced technique used by robots to explore environments and create maps while determining their own location.
Additional Learning Materials
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