HCP-ASP: a parallel algorithm for hybrid conditional planning using answer set programming

Yalçıner, İbrahim Faruk (2018) HCP-ASP: a parallel algorithm for hybrid conditional planning using answer set programming. [Thesis]

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Official URL: http://risc01.sabanciuniv.edu/record=b1669816 (Table of Contents)


We introduce a parallel offline algorithm for computing hybrid conditional plans, called HCP-ASP, oriented towards robotics applications. HCP-ASP relies on modeling actuation actions and sensing actions in an expressive nonmonotonic language of answer set programming (ASP), and computation of the branches of a conditional plan in parallel using an ASP solver. In particular, thanks to external atoms, continuous feasibility checks (like collision checks) are embedded into formal representations of actuation actions and sensing actions in ASP; and thus each branch of a hybrid conditional plan describes a feasible execution of actions to reach their goals. Utilizing nonmonotonic constructs and nondeterministic choices, partial knowledge about states and nondeterministic effects of sensing actions can be explicitly formalized in ASP; and thus each branch of a conditional plan can be computed by an ASP solver without necessitating a conformant planner and an ordering of sensing actions in advance. We apply our method in a service robotics domain and report experimental evaluations. Furthermore, we present performance comparisons with other compilation based conditional planners on standardized benchmark domains.

Item Type:Thesis
Uncontrolled Keywords:Conditional Planning. p-- Hybrid Planning. -- Answer Set Programming. -- Cognitive Robotics. -- Durumsal planlama. -- Melez planlama. -- Çözüm kümesi programlama. -- Bilişsel Robotik.
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK7800-8360 Electronics > TK7885-7895 Computer engineering. Computer hardware
ID Code:34773
Deposited By:IC-Cataloging
Deposited On:10 May 2018 14:02
Last Modified:10 May 2018 14:02

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