SHOP (Simple Hierarchical Ordered Planner) and M-SHOP (Multi-task-list SHOP) are HTN planning algorithms with the following characteristics. • SHOP and M-SHOP plan for tasks in the same order that they will later be executed. This avoids some taskinteraction issues that arise in other HTN planners, making the planning algorithms relatively simple. This also makes it easy to prove soundness and completeness results. • Since SHOP and M-SHOP know the complete world-state at each step of the planning process, they can use highly expressive domain representations. For example, they can do planning problems that require Horn-clause inferencing, complex numeric computations, and calls to external programs. • In our tests, SHOP and M-SHOP were seve...
One drawback of Hierarchical Task Network (HTN) planning is the difficulty of providing com-plete do...
During the planning process, a planner may often have many different options for what kind of plan r...
We describe HTN-Maker, an algorithm for learning hierarchical planning knowledge in the form of task...
SHOP (Simple Hierarchical Ordered Planner) and M-SHOP (Multi-task-list SHOP) are planning algorithms...
SHOP (Simple Hierarchical Ordered Planner) is a domain-independent HTN Planning system with the foll...
SHOP (Simple Hierarchical Ordered Planner) is a domain-independent H T N planning system with the fo...
Hierarchical Task Network (HTN) planning is the problem of decomposing an initial task into a sequen...
International audienceMany planning techniques have been developed to allow autonomous systems to ac...
Despite the extensive development of first-principles planning in recent years, planning application...
We describe HTN-MAKER, an algorithm for learning hier-archical planning knowledge in the form of dec...
This paper provides techniques for hierarchical task network (HTN) planning with durative actions. H...
Hierarchical Task Network (HTN) planning with Task Insertion (TIHTN planning) is a formalism that hy...
One big obstacle to understanding the nature of hierarchical task network (HTN) planning has been th...
Planning is a central activity in many areas including robotics, manufacturing, space mission sequen...
One big obstacle to understanding the nature of hierarchical task network (HTN) planning has been th...
One drawback of Hierarchical Task Network (HTN) planning is the difficulty of providing com-plete do...
During the planning process, a planner may often have many different options for what kind of plan r...
We describe HTN-Maker, an algorithm for learning hierarchical planning knowledge in the form of task...
SHOP (Simple Hierarchical Ordered Planner) and M-SHOP (Multi-task-list SHOP) are planning algorithms...
SHOP (Simple Hierarchical Ordered Planner) is a domain-independent HTN Planning system with the foll...
SHOP (Simple Hierarchical Ordered Planner) is a domain-independent H T N planning system with the fo...
Hierarchical Task Network (HTN) planning is the problem of decomposing an initial task into a sequen...
International audienceMany planning techniques have been developed to allow autonomous systems to ac...
Despite the extensive development of first-principles planning in recent years, planning application...
We describe HTN-MAKER, an algorithm for learning hier-archical planning knowledge in the form of dec...
This paper provides techniques for hierarchical task network (HTN) planning with durative actions. H...
Hierarchical Task Network (HTN) planning with Task Insertion (TIHTN planning) is a formalism that hy...
One big obstacle to understanding the nature of hierarchical task network (HTN) planning has been th...
Planning is a central activity in many areas including robotics, manufacturing, space mission sequen...
One big obstacle to understanding the nature of hierarchical task network (HTN) planning has been th...
One drawback of Hierarchical Task Network (HTN) planning is the difficulty of providing com-plete do...
During the planning process, a planner may often have many different options for what kind of plan r...
We describe HTN-Maker, an algorithm for learning hierarchical planning knowledge in the form of task...