How do robots avoid obstacles in their path?
Robots use various sensors like LIDAR, ultrasonic, and cameras to detect obstacles. They then process this data to navigate around them.
What types of sensors are most effective for obstacle detection?
LIDAR is highly effective for precise distance measurement, while ultrasonic sensors are great for short-range detection. Cameras can also provide visual data for more complex environments.
Can you explain how the algorithms work for obstacle avoidance?
Sure! Algorithms like A* and Dijkstra's are used for pathfinding, while reactive methods like potential fields help in real-time obstacle avoidance.
Are there any real-world applications of this technology?
Yes, it's used in autonomous vehicles, drones, and robotic vacuum cleaners to navigate safely in various environments.
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