How do robots plan their paths in complex environments?
Robots use algorithms like A* and Dijkstra's to find optimal paths while avoiding obstacles.
What factors do these algorithms consider when planning a path?
They consider distance, obstacle locations, and sometimes even dynamic changes in the environment.
Can you explain the A* algorithm in more detail?
Sure! A* combines the cost to reach a node and an estimated cost to the goal, balancing efficiency and accuracy.
Are there any real-world applications of path planning in robotics?
Yes, it's used in autonomous vehicles, drones, and robotic vacuum cleaners to navigate effectively.
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