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Manipulation of Articulated Objects Using Dual-arm Robots via Answer Set Programming

Published online by Cambridge University Press:  14 December 2020

RICCARDO BERTOLUCCI ,
ALESSIO CAPITANELLI ,
CARMINE DODARO Open the ORCID record for CARMINE DODARO [Opens in a new window] ,
NICOLA LEONE ,
MARCO MARATEA Open the ORCID record for MARCO MARATEA [Opens in a new window] ,
FULVIO MASTROGIOVANNI  and
MAURO VALLATI
RICCARDO BERTOLUCCI
Affiliation:
University of Calabria, Italy (e-mail: [email protected])
ALESSIO CAPITANELLI
Affiliation:
Teseo srl, Italy (e-mail: [email protected])
CARMINE DODARO
Affiliation:
University of Calabria, Italy (e-mails: [email protected], [email protected])
NICOLA LEONE
Affiliation:
University of Calabria, Italy (e-mails: [email protected], [email protected])
MARCO MARATEA
Affiliation:
University of Genoa, Italy (e-mails: [email protected], [email protected])
FULVIO MASTROGIOVANNI
Affiliation:
University of Genoa, Italy (e-mails: [email protected], [email protected])
MAURO VALLATI
Affiliation:
University of Huddersfield, UK (e-mail:[email protected])
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Abstract

The manipulation of articulated objects is of primary importance in Robotics and can be considered as one of the most complex manipulation tasks. Traditionally, this problem has been tackled by developing ad hoc approaches, which lack flexibility and portability. In this paper, we present a framework based on answer set programming (ASP) for the automated manipulation of articulated objects in a robot control architecture. In particular, ASP is employed for representing the configuration of the articulated object for checking the consistency of such representation in the knowledge base and for generating the sequence of manipulation actions. The framework is exemplified and validated on the Baxter dual-arm manipulator in the first, simple scenario. Then, we extend such scenario to improve the overall setup accuracy and to introduce a few constraints in robot actions execution to enforce their feasibility. The extended scenario entails a high number of possible actions that can be fruitfully combined together. Therefore, we exploit macro actions from automated planning in order to provide more effective plans. We validate the overall framework in the extended scenario, thereby confirming the applicability of ASP also in more realistic Robotics settings and showing the usefulness of macro actions for the robot-based manipulation of articulated objects.

Keywords

answer set programmingrobots manipulationmacro actions
Type
Original Article
Information
Theory and Practice of Logic Programming , Volume 21 , Issue 3 , May 2021 , pp. 372 - 401
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Copyright
© The Author(s), 2020. Published by Cambridge University Press

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