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Authors: Tim Meywerk 1 ; Vladimir Herdt 1 ; 2 and Rolf Drechsler 2

Affiliations: 1 Group of Computer Architecture, University of Bremen, Bremen, Germany ; 2 Cyber-Physical Systems, DFKI GmbH, Bremen, Germany

Keyword(s): Plan-based robotics, Safety, Fuzzing.

Abstract: Autonomous robots are used increasingly in dynamic and safety-critical environments. In these environments the correctness of the robotic plan is of utmost importance. In many other domains, coverage-guided fuzzing has proven to be an effective way to ensure the correctness of software programs. In coverage-guided fuzzing, inputs to a program are generated semi-randomly and the correctness of the output is checked automatically. This way, a large number of test cases can be run without manual interaction. In this work we present our approach to coverage-guided fuzzing for plan-based robotics and our prototypical implementation for the planning language CPL. We also introduce a novel coverage metric for the domain of plan-based robotics.

CC BY-NC-ND 4.0

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Paper citation in several formats:
Meywerk, T.; Herdt, V. and Drechsler, R. (2023). Coverage-Guided Fuzzing for Plan-Based Robotics. In Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART; ISBN 978-989-758-623-1; ISSN 2184-433X, SciTePress, pages 106-114. DOI: 10.5220/0011630600003393

@conference{icaart23,
author={Tim Meywerk. and Vladimir Herdt. and Rolf Drechsler.},
title={Coverage-Guided Fuzzing for Plan-Based Robotics},
booktitle={Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART},
year={2023},
pages={106-114},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011630600003393},
isbn={978-989-758-623-1},
issn={2184-433X},
}

TY - CONF

JO - Proceedings of the 15th International Conference on Agents and Artificial Intelligence - Volume 2: ICAART
TI - Coverage-Guided Fuzzing for Plan-Based Robotics
SN - 978-989-758-623-1
IS - 2184-433X
AU - Meywerk, T.
AU - Herdt, V.
AU - Drechsler, R.
PY - 2023
SP - 106
EP - 114
DO - 10.5220/0011630600003393
PB - SciTePress