Incremental Learning

Adding new knowledge (tasks, objects, environments) to an existing robot learning system without full retraining. Incremental learning methods must balance plasticity (ability to learn new things) with stability (retaining old knowledge). In practice, incremental learning for robots involves careful dataset management, regularization, and modular architecture design.