Coverage-driven verification — An approach to verify code for robots that directly interact with humans

Pipe, Anthony; Araiza-Illan, Dejanira; Western, David; Pipe, Anthony G.; Eder, Kerstin

Abstract

© Springer International Publishing Switzerland 2015. Collaborative robots could transform several industries, such as manufacturing and healthcare, but they present a significant challenge to verification. The complex nature of their working environment necessitates testing in realistic detail under a broad range of circumstances. We propose the use of Coverage-Driven Verification (CDV) to meet this challenge. By automating the simulation-based testing process as far as possible, CDV provides an efficient route to coverage closure. We discuss the need, practical considerations, and potential benefits of transferring this approach from microelectronic design verification to the field of human-robot interaction. We demonstrate the validity and feasibility of the proposed approach by constructing a custom CDV testbench and applying it to the verification of an object handover task.

Citation

Pipe, A., Araiza-Illan, D., Western, D., Pipe, A. G., & Eder, K. (2015). Coverage-driven verification — An approach to verify code for robots that directly interact with humans. Lecture Notes in Artificial Intelligence, 9434, 69-84. https://doi.org/10.1007/978-3-319-26287-1_5

• Journal Article Type: Conference Paper
• Acceptance Date: Nov 1, 2015
• Publication Date: Jan 1, 2015
• Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Print ISSN: 0302-9743
• Electronic ISSN: 1611-3349
• Publisher: Springer Verlag
• Peer Reviewed: Peer Reviewed
• Volume: 9434
• Pages: 69-84
• Book Title: Hardware and Software: Verification and Testing
• DOI: https://doi.org/10.1007/978-3-319-26287-1_5
• Keywords: robot-human interaction, code verification, coverage-driven
• Public URL: https://uwe-repository.worktribe.com/output/840681
• Publisher URL: http://dx.doi.org/10.1007/978-3-319-26287-1_5