Predicting Human Motion: Socially-Aware AI

Any machine sharing space with people must answer one question continuously: where will they be in five seconds? This path builds human trajectory forecasting from the problem statement to deployment: why the answer is a distribution rather than a path, the social pooling layer that let networks learn collision avoidance nobody programmed, why the field's standard metric rewards predicting a walk into a wall over a plausible wrong turn, and the four gaps that separate a benchmark number from a robot that is safe around people.