GRPS - AI

 
 

Group of Reasoning on Planning and Scheduling

 
 

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 YEAR 2014 
   
 

  FLAP(version 1)

   Author/s: Óscar Sapena, Alejandro Torreño, Eva Onaindía

  

   FLAP is a partial-order planner that applies the least-commitment principle of traditional partial-order planning. FLAP fully exploits the partial ordering among actions of a plan. The search engine of FLAP uses a combination of different state-based heuristics and applies a parallel search technique to diversify the search in different directions when a plateau is found.

 

More details on this tool can be found here.

 

 

  FMAP: Forward-Chaining Cooperative Multi-Agent Planning System(version 1.0)

   Author/s: Alejandro Torreño, Eva Onaindía, Óscar Sapena

  

   FMAP is a fully-distributed general-purpose multi-agent planning (MAP) tool designed to cope with cooperative MAP tasks of any level of complexity. Planning tasks are described in a MAP language based on PDDL3.1 with some extensions to support privacy and information distribution.
FMAP performs a multi-agent weighed A* search, selecting plans according to a novel distributed heuristic function based on the notion of Domain Transition Graphs. Nodes in the search tree are partial-order plans built in a forward-chaining fashion.
This work has been developed under the project PlanInteraction: Planning as Interaction by Multiple Agents (TIN2011-27652-C03-01).

 

More details on this tool can be found here.

 

   
 YEAR 2012 
   
 

  MAP-POP: Cooperative Multi-Agent Planning System(version 1.0)

   Author/s: Alejandro Torreño, Eva Onaindía, Oscar Sapena

  

   The POP-Based Multi-Agent Planning System (MAP-POP) is a general-purpose tool based on partial-order planning and suitable to cope with both tightly-coupled and loosely-coupled cooperative multi-agent planning problems. Planning tasks are described in a PDDL3.1-based MAP language with some extensions to support privacy and partial information.
This work has been developed under the project PlanInteraction: Planning as Interaction by Multiple Agents (TIN2011-27652-C03-01).

 

More details on this tool can be found here.

 

   
 

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