Temporal Planning

Temporal planning focuses on finding sequences of actions that achieve goals within specified time constraints, addressing the complexities of concurrent actions and dynamic environments. Current research emphasizes efficient algorithms for handling large-scale problems, incorporating uncertainty and incomplete knowledge, and integrating planning with execution, particularly in real-time applications like robotics and autonomous systems. These advancements are improving the performance and applicability of temporal planners across diverse domains, from smart home energy management to multi-robot coordination and autonomous driving.