Deploying Constraint Programming for Testing ABB's Painting Robots

Mossige, Morten; Gotlieb, Arnaud; Meling, Hein

doi:10.1609/aimag.v38i2.2723

Cited by 2 publications

(1 citation statement)

References 3 publications

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“…For instance, in C1, an employee from ABB Robotics decided to realize an industrial PhD while on partial leave. During the PhD he published scientific articles [46] in conferences and journals in the software engineering and testing community. Another practitioner from C1 pointed out that "It was only after we wrote the first paper together with researchers that we started appreciating such a writing exercise, as it helped us understand scientific writing, which is often a great source of innovative ideas."…”

Section: P9: Joint Authorship Of Scientific Articlesmentioning

confidence: 99%

Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns

Marijan

Sen

2022

ACM Trans. Softw. Eng. Methodol.

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Increasing the impact of software engineering research in the software industry and the society at large has long been a concern of high priority for the software engineering community. The problem of two cultures, research conducted in a vacuum (disconnected from the real world), or misaligned time horizons are just some of the many complex challenges standing in the way of successful industry–academia collaborations. This article reports on the experience of research collaboration and knowledge co-creation between industry and academia in software engineering as a way to bridge the research–practice collaboration gap. Our experience spans 14 years of collaboration between researchers in software engineering and the European and Norwegian software and IT industry. Using the participant observation and interview methods, we have collected and afterwards analyzed an extensive record of qualitative data. Drawing upon the findings made and the experience gained, we provide a set of 14 patterns and 14 anti-patterns for industry–academia collaborations, aimed to support other researchers and practitioners in establishing and running research collaboration projects in software engineering.

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Section: P9: Joint Authorship Of Scientific Articlesmentioning

confidence: 99%

Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns

Marijan

Sen

2022

ACM Trans. Softw. Eng. Methodol.

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Stress Testing of Single-Arm Robots Through Constraint-Based Generation of Continuous Trajectories

Collet

Gotlieb

Lazaar

et al. 2019

2019 IEEE International Conference on Artificial Intelligence Testing (AITest)

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System Testing of Single-Arm Robots (SAR) is challenging as typical SAR involve multiple coordinated softwarecontrolled subsystems, such as motion and action control, perception and anti-collision systems. Developing convincing test scenarios which place the SAR into highly CPU-demanding cases is complicated due to the huge number of possible robots' workspace configurations. In this paper, we introduces RobTest, a tool-supported method for stress testing of SAR, which generates automatically optimal collision-free trajectories. Initially specified by a cloud of points and a set of obstacles, these trajectories are piecewise linear paths in a cost-labelled oriented graph. By using advanced Constraint Programming (CP) techniques, such as constraint refutation over continuous domains and constraint optimization over graphs, RobTest can generate continuous trajectories which 1) avoid physical obstacles and 2) maximize the load of the various CPUs of the SAR. These trajectories result into automatically robot computer programs which place the SAR into high-demanding test scenarios. Our initial experimental evaluation of RobTest shows promising results.

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Deploying Constraint Programming for Testing ABB's Painting Robots

Abstract: This report explores the use of constraint programming for the validation of ABB Robotics' painting robots.

Cited by 2 publications

References 3 publications

Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns

Industry–Academia Research Collaboration and Knowledge Co-creation: Patterns and Anti-patterns

Stress Testing of Single-Arm Robots Through Constraint-Based Generation of Continuous Trajectories

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