What are the differences between static and dynamic obstacles in AI?

What are the differences between static and dynamic obstacles in AI?

Static obstacles are fixed and unchanging, like walls or furniture, while dynamic obstacles can move, like pedestrians or vehicles.

Can you give examples of each type of obstacle?

Sure! A static obstacle could be a building, while a dynamic obstacle might be a car that is driving through an intersection.

How do AI systems navigate around these obstacles?

AI systems use algorithms like pathfinding to calculate routes around static obstacles and real-time data to adjust for dynamic ones.

What challenges do dynamic obstacles present for AI?

Dynamic obstacles require AI to predict movement patterns and react quickly, which can be complex and resource-intensive.

Are there any technologies that help with this?

Yes, technologies like LiDAR, computer vision, and machine learning algorithms help AI detect and respond to dynamic obstacles effectively.