2024-03-28T16:52:52Zhttp://buleria.unileon.es/oai/requestoai:buleria.unileon.es:10612/17982020-12-10T09:08:06Zcom_10612_17col_10612_21
Escuela de Ingenierias Industrial e Informatica
Matellán Olivera, Vicente
Borrajo, Daniel
Arquitectura y Tecnologia de Computadores
1998-06-07
2012-07-06T11:27:39Z
2012-07-06T11:27:39Z
2012-07-06
Workshop Artificial Intelligence Planning Systems (AIPS98), June 7-10, 1998, Pittsburg, USA
http://hdl.handle.net/10612/1798
Systems that must plan, act, and probably learn using
a rational, flexible behavior in real time present a
challenge to current integrated schemas of planning and
acting. Classical planning is still far from solving problems
on such short time as needed in dynamic domains,
such as Robosoccer, even with new approaches such
as graph-based techniques. Reactive systems on the
other hand, are hard to configure and do not work well
when high level flexible reasoning is required.This paper
presents an opportunistic planning-acting schema
based on our model named ABC2. The primary goal
of the modeli s to composep re-defined skills in an opportunistic
way to achieve and intelligent behavior for
robots working autonomously
eng
Informática
Inteligencia artificial
ABC Model
Robótica
Combining Classical and Reactive Planning: the ABC Model
info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/conferenceObject
info:eu-repo/semantics/lecture
info:eu-repo/semantics/openAccess