Corpus ID: 18750837

LPG-TD : a Fully Automated Planner for PDDL 2 . 2 Domains

  title={LPG-TD : a Fully Automated Planner for PDDL 2 . 2 Domains},
  author={A. Gerevini and A. Saetti and I. Serina and P. Toninelli},
Like the previous version of LPG, the new version is based on a stochastic local search in the space of particular “action graphs” derived from the planning problem specification. In LPG-TD, this graph representation has been extended to deal with the new features of PDDL2.2, as well to improve the management of durative actions and of numerical expressions (already supported by PDDL2.1(Fox & Long 2003)). In the following, we briefly describe the main novelties of LPG-TD, which include some new… Expand

Figures from this paper

Semantic based task planning for domestic service robots
A semantic knowledge base is proposed to derive and check implicit information about the effects of actions during plan generation and this results in developing a new type of action which is known as a Semantic Action Model for Information Gathering (SAM_IG). Expand
An AI Planning-Based Approach to the Multi-Agent Plan Recognition Problem
A multi-step compilation technique is proposed that enables the use of AI planning for the computation of the probability distributions of plans and goals, given observations. Expand
Learning static knowledge for AI planning domain models via plan traces
This research aims to enhance the LOCM system and to extend the method of Learning Domain Models for AI Planning Engines via Plan Traces, which requires no prior knowledge of the target domain and can produce a dynamic part of a domain model from training. Expand
A visual programming system for automated problem solving
VLEPPO is presented, an integrated system aiming at visually modeling planning domains and problems through a convenient graphical interface, while maintaining compatibility with the Planning Domain Definition Language (PDDL), with import and export features. Expand
Tᴏᴏʟ: accessible automated reasoning for human robot collaboration
An expressive, concise, and extendable domain specific language for planning of assembly systems, such as industrial human robot cooperation, and describes how it integrated automated reasoners and planners in a way that makes them accessible to users which have little programming knowledge, but expertise in manufacturing domain and no previous experience with or knowledge about the underlying reasoners. Expand
Hybrid Planning for Decision Making in Self-Adaptive Systems
Deterministic planning provides plans quickly when timeliness is critical, while allowing MDP planning to generate optimal plans when the system has sufficient time to do so, to obtain the best of both worlds. Expand
Human-inthe-Loop Domain-Model Acquisition
Using planning language, such as PDDL (Planning Domain Description Language), to build domain models from scratch is challenging for engineers, which impedes the applications of planning techniquesExpand
Despite the high costs operations and the skilled labor lack, production processes require robots to improve efficiency in assembly and disassembly lines. Historically, the robot programming is basedExpand
Appropriate Expressiveness of Planning Domain Models: An Urban Traffic Control Case Study
This paper considers a problem of efficient routing of vehicles in urban road networks and proposes three domain models with different level of expressiveness to address the problem, investigating how the models differ in terms of accuracy (quality of plans they produce) and efficiency of plan generation. Expand
Reachability Analysis of Concurrent Systems & Applications to Automated Planning
Inspired by well-known planning heuristics, this thesis shows how problem specific information can be employed to guide unfolding, in response to the formal problem of developing efficient, directed reachability analysis methods for concurrent systems. Expand


Planning Through Stochastic Local Search and Temporal Action Graphs in LPG
This paper focuses on temporal planning, introducing TA-graphs and proposing some techniques to guide the search in LPG using this representation, and shows that these techniques can be very effective. Expand
PDDL2.1: An Extension to PDDL for Expressing Temporal Planning Domains
The syntax of the language, PDDL2.1, is described, which has considerable modelling power -- exceeding the capabilities of current planning technology -- and presents a number of important challenges to the research community. Expand
An Empirical Analysis of Some Heuristic Features for Local Search in LPG
Three heuristic functions for evaluating the search neighborhood and some settings of the "noise" parameter, that randomizes the next search step for escaping from local minima are examined. Expand
PDDL2.2: The Language for the Classical Part of the 4th International Planning Competition Technical Report N
  • PDDL2.2: The Language for the Classical Part of the 4th International Planning Competition Technical Report N
  • 2003
PDDL2.2: The Language for the Classical Part of the 4th International Planning Competition
  • Technical Report N. 194,
  • 2003