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4 cards from this section. Quick, good the night before a test.
What does A* stand for?
Think about the method it uses to assess costs.
What is the main goal of dynamic obstacle avoidance?
Consider the use of prediction and adjustment.
What does the A* algorithm utilize to explore paths?
Consider what parameters affect optimal pathfinding.
Is RRT guaranteed to find the optimal path?
Think about the trade-offs in algorithm speed versus path quality.
Explain how you would implement D* Lite in a robotics project that requires real-time pathfinding in a dynamic environment.
Consider the balance between real-time data processing and efficient pathfinding.
In a warehouse setting, using RRT, how would you enhance the pathfinding ability to ensure optimal paths while maintaining speed?
Think of speed versus thoroughness in your sampling strategy.
5 more questions in this section. Enroll free to practise them all.
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