Path prediction is a technique used in various fields, including robotics and autonomous vehicles, to forecast the future trajectory of moving objects. By analyzing past movement patterns and current speed, algorithms can estimate where an object is likely to go next. This helps systems make informed decisions, such as avoiding collisions or optimizing routes. In the context of machine learning, path prediction relies on data-driven models that learn from historical data. These models can adapt to different scenarios, improving their accuracy over time. Applications range from self-driving cars to drone navigation, enhancing safety and efficiency in dynamic environments.