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SHOP2: an HTN planning system

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TLDR
The SHOP2 planning system as discussed by the authors received one of the awards for distinguished performance in the 2002 International Planning Competition and described the features that enabled it to excel in the competition, especially those aspects of SHOP 2 that deal with temporal and metric planning domains.
Abstract
The SHOP2 planning system received one of the awards for distinguished performance in the 2002 International Planning Competition. This paper describes the features of SHOP2 which enabled it to excel in the competition, especially those aspects of SHOP2 that deal with temporal and metric planning domains.

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Journal ArticleDOI

Recent trends in task and motion planning for robotics: A Survey

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Robots in Retirement Homes: Applying Off-the-Shelf Planning and Scheduling to a Team of Assistive Robots

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Virtual agents for the production of linear animations

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Book ChapterDOI

LEAF: Using Semantic Based Experience to Prevent Task Failures

TL;DR: LEAF relies on both semantic context knowledge through ontology and user validation, allowing LEAF to have an accurate understanding of failures, and uses this new knowledge to adapt a Hierarchical Task Network in order to prevent selecting tasks that have a high risk of failure in the plan.
Proceedings ArticleDOI

A goal-driven and content-oriented planning system for knowledge-intensive service composition

TL;DR: In this paper, a goal-driven and content-oriented automatic service composition method based on Hierarchical Task Network is proposed for dealing with diversified users' needs and changeable structures in process.
References
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Proceedings Article

HTN planning: complexity and expressivity

TL;DR: How the complexity of HTN planning varies with various conditions on the task networks is described.
Proceedings Article

Generating project networks

TL;DR: The planner (NONLIN) and the Task Formalism (TF) used to hierarchically specify a domain are described, which can aid in the generation of project networks.
Journal ArticleDOI

Using temporal logics to express search control knowledge for planning

TL;DR: This work shows how domain dependent search control knowledge can be represented in a temporal logic, and then utilized to effectively control a forward-chaining planner.
Book

Practical Planning: Extending the Classical AI Planning Paradigm

TL;DR: In this paper, the authors present a hierarchical planning as a hierarchy of different abstraction levels for SIPE and compare it with other systems with different resources: Reusable, Consumable, Temporal, Search, and Reactivity.
Proceedings Article

The nonlinear nature of plans

TL;DR: A new information structure is described, called the procedural net, that represents a plan as a partial ordering of actions with respec to time, so that a problem-solving system using this representation can deal easily and directly with problems that are otherwise very difficult to solve.