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DELTA: Decomposed Efficient Long-Term Robot Task Planning using Large Language Models
Recent advancements in Large Language Models (LLMs) have sparked a revolution across various research fields.
Understanding Real-World AI Planning Domains: A Conceptual Framework
Planning is a pivotal ability of any intelligent system being developed for real-world applications.
Service Composition in the ChatGPT Era
The paper speculates about how ChatGPT-like systems can support the field of automated service composition and identifies new research areas to explore in order to take advantage of such tools in the field of service-oriented composition.
Risk Awareness in HTN Planning
In particular, we introduce a general framework for HTN planning that allows modelling risk and uncertainty using a probability distribution of action costs upon which we define risk-aware HTN planning as an approach that accounts for the different risk attitudes and allows computing plans that go beyond risk neutrality.
HTN Planning Domain for Deployment of Cloud Applications
Cloud providers are facing a complex problem in configuring software applications ready for deployment on their infrastructures.
Software Architecture for Next-Generation AI Planning Systems
Artificial Intelligence (AI) planning is a flourishing research and development discipline that provides powerful tools for searching a course of action that achieves some user goal.
An Overview of Hierarchical Task Network Planning
However, the history of almost 40 years obfuscates the current understanding of HTN planning in terms of accomplishments, planning models, similarities and differences among hierarchical planners, and its current and objective image.
