Difference between revisions of "Portal:Sources"

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;Notes for improvement:  organize and structure to better differentiate between documentation, resources (e.g. test ranges and tools), and collaborative activities (e.g. conferences)


== Standards ==
* 1012-2016 - IEEE Standard for System, Software, and Hardware Verification and Validation [https://ieeexplore.ieee.org/document/8055462]
* P2817 - IEEE Guide for Verification of Autonomous Systems [https://standards.ieee.org/ieee/2817/7644/]
== Best practices ==


== Books on verification ==
== Books on verification ==
* Model checking book. E. Clarke
* Model checking, E. Clarke et al [https://mitpress.mit.edu/9780262038836/model-checking/]
* Other model checking book by Peter Katoen
* Principles of model checking, P. Katoen et al [https://mitpress.mit.edu/9780262026499/principles-of-model-checking/]
* Book on software testing/model-based testing
* Book on software testing/model-based testing
* Artificial Intelligence and Software Testing - Building systems you can trust (2022). Rex Black, James Davenport, Joanna Olszewska, Jeremias Rößler, Adam Leon Smith, Jonathon Wright. Edited by Adam Leon Smith [https://shop.bcs.org/store/221/detail/workgroup?id=3-221-9781780175768 link]
* Artificial Intelligence and Software Testing - Building systems you can trust (2022). Rex Black, James Davenport, Joanna Olszewska, Jeremias Rößler, Adam Leon Smith, Jonathon Wright. Edited by Adam Leon Smith [https://shop.bcs.org/store/221/detail/workgroup?id=3-221-9781780175768 link]
* 25 Years of Model Checking, O. Grumberg et al [https://link.springer.com/book/10.1007/978-3-540-69850-0]


== Special issues on VAS ==
== Special issues on VAS ==
Line 25: Line 32:


== Review or survey papers on V&V ==
== Review or survey papers on V&V ==
 
* Michael Fisher's survey paper
* Signe + David Tate's white paper


== Existing projects ==
== Existing projects ==
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* ROBOCUP
* ROBOCUP
* AWS Deepracer (deep learning for training autonomous vehicles)
* AWS Deepracer (deep learning for training autonomous vehicles)
* Australia & New Zealand Search and Rescue [https://uavchallenge.org/search-and-rescue/]
* [https://uavchallenge.org/search-and-rescue/ Australia & New Zealand Search and Rescue]
* SAUC-E - underwater robotics competition
* SAUC-E - underwater robotics competition
* Robosub
* Robosub


== Conferences ==
== Conferences ==
*
== Patents ==
== Most recent relevant papers ==
* Formal verification of neural network controlled autonomous systems, X Sun, H Khedr, Y Shoukry - Proceedings HSCC 2019 [https://dl.acm.org/doi/abs/10.1145/3302504.3311802 link]
* Towards a framework for certification of reliable autonomous systems, M Fisher, V Mascardi, KY Rozier, BH Schlinglof, M Winikoff, N Yorke-Smith - Autonomous Agents and Multi-Agent Systems 2021 [https://link.springer.com/article/10.1007/s10458-020-09487-2 link]
* Verifying the safety of autonomous systems with neural network controllers, R Ivanov, TJ Carpenter, J Weimer, R Alur, GJ Pappas, I Lee - ACM Transactions on Embedded Computing Systems 2020 [https://dl.acm.org/doi/abs/10.1145/3419742 link]
* A Review of Verification and Validation for Space Autonomous Systems, RC Cardoso, G Kourtis, LA Dennis, C Dixon, M Farrell, M Fisher, M Webster - Current Robotics Reports 2021 [https://link.springer.com/article/10.1007/s43154-021-00058-1 link]
* Formal verification of colreg-based navigation of maritime autonomous systems, F Shokri-Manninen, J Vain, M Waldén - Proceedings of SEFM 2020 [https://link.springer.com/chapter/10.1007/978-3-030-58768-0_3 link]
* Compositional verification for autonomous systems with deep learning components, CS Păsăreanu, D Gopinath, H Yu - Safe, Autonomous and Intelligent Vehicles 2019 [https://link.springer.com/chapter/10.1007/978-3-319-97301-2_10 link]
* Recent trends in formal validation and verification of autonomous robots software, F Ingrand - IEEE International Conference on Robotic Computing, 2019 [https://ieeexplore.ieee.org/abstract/document/8675610/ link]
* On-line testing for autonomous systems driven by RISC-V processor design verification, A Ruospo, R Cantoro, E Sanchez, PD Schiavone, A Garofalo, L Benini - IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems 2019 [https://ieeexplore.ieee.org/abstract/document/8875345 link]
* Testing, Validation, and Verification of Robotic and Autonomous Systems: A Systematic Review, H Araujo, MR Mousavi, M Varshosaz - ACM Transactions on Software Engineering and Methodology 2022 [https://dl.acm.org/doi/abs/10.1145/3542945 link]
* Verifiable self-aware agent-based autonomous systems, LA Dennis, M Fisher - Proceedings of the IEEE 2020 [https://ieeexplore.ieee.org/abstract/document/9094672 link]
* Reliability and safety of autonomous systems based on semantic modelling for self-certification, O Zaki, M Dunnigan, V Robu, D Flynn - Robotics 2021 [https://www.mdpi.com/2218-6581/10/1/10 link]
* Autonomics: In search of a foundation for next-generation autonomous systems, D Harel, A Marron, J Sifakis - Proceedings of the National Academy of Sciences 2020 [https://www.pnas.org/doi/abs/10.1073/pnas.2003162117 link]
* DIAT: Data Integrity Attestation for Resilient Collaboration of Autonomous Systems, T Abera, R Bahmani, F Brasser, A Ibrahim, AR Sadeghi, M Schunter - NDSS 2019 [https://www.ndss-symposium.org/wp-content/uploads/2019/02/ndss2019_07A-4_Abera_paper.pdf link]
* Neural bridge sampling for evaluating safety-critical autonomous systems, A Sinha, M O'Kelly, R Tedrake, JC Duchi - NeurIPS 2020 [https://proceedings.neurips.cc/paper/2020/hash/475d66314dc56a0df8fb8f7c5dbbaf78-Abstract.html link]
* Security in autonomous systems, S Katzenbeisser, I Polian, F Regazzoni, M Stottinger - IEEE European Test Symposium 2019 [https://ieeexplore.ieee.org/abstract/document/8791552 link]
* Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust, U Topcu, N Bliss, N Cooke, M Cummings, A Llorens, H Shrobe, L Zuck,  arXiv preprint 2020 [https://arxiv.org/abs/2010.14443 link]
* Guidance on the assurance of machine learning in autonomous systems (AMLAS), R Hawkins, C Paterson, C Picardi, Y Jia, R Calinescu, I Habli, arXiv prepring 2021 [https://arxiv.org/abs/2102.01564 link]
* Assured Autonomy Survey, C Rouff, L Watkins - Foundations and Trends in Privacy and Security 2022 [https://www.nowpublishers.com/article/Details/SEC-027 link]
* Autonomous Systems Design: Charting a New Discipline, S Saidi, J Deshmukh, D Ziegenbein, R Ernst - IEEE Design & Test 2021 [https://ieeexplore.ieee.org/abstract/document/9615198 link]
* A Scenario Approach to Risk-Aware Safety-Critical System Verification, P Akella, M Ahmadi, A Ames - ArXiv preprint 2022 [https://arxiv.org/abs/2203.02595 link]

Latest revision as of 12:29, 4 October 2022

Notes for improvement
organize and structure to better differentiate between documentation, resources (e.g. test ranges and tools), and collaborative activities (e.g. conferences)

Standards

  • 1012-2016 - IEEE Standard for System, Software, and Hardware Verification and Validation [1]
  • P2817 - IEEE Guide for Verification of Autonomous Systems [2]

Best practices

Books on verification

  • Model checking, E. Clarke et al [3]
  • Principles of model checking, P. Katoen et al [4]
  • Book on software testing/model-based testing
  • Artificial Intelligence and Software Testing - Building systems you can trust (2022). Rex Black, James Davenport, Joanna Olszewska, Jeremias Rößler, Adam Leon Smith, Jonathon Wright. Edited by Adam Leon Smith link
  • 25 Years of Model Checking, O. Grumberg et al [5]

Special issues on VAS

  • Journals

Case studies

  • Steps and method followed when verifying a system


Whitepapers on autonomous systems V&V from regulators

  • How to apply V&V to autonomous systems
  • How to interpret regulations for different countries
  • What remains to be done for regulations

E.g.

  • Reviews on regulations for autonomous systems in Australia


Review or survey papers on V&V

  • Michael Fisher's survey paper
  • Signe + David Tate's white paper

Existing projects

  • Metrics [6] - finding ways to organize competitions that are reproducible, benchmarks to structure robotics competitions, comparing hardware and software together. Applications: healthcare, agriculture, etc.

Benchmark models

  • Simulink model benchmark for falsification (3 models)


Testing fields & sites/labs

  • Georgia Tech Robotarium
  • Urban search and rescue at Texas A&M

Robotics & autonomous systems competitions

  • DARPA
  • Autonomous vehicles
  • European Robotics League
  • ROBOCUP
  • AWS Deepracer (deep learning for training autonomous vehicles)
  • Australia & New Zealand Search and Rescue
  • SAUC-E - underwater robotics competition
  • Robosub

Conferences

Patents

Most recent relevant papers

  • Formal verification of neural network controlled autonomous systems, X Sun, H Khedr, Y Shoukry - Proceedings HSCC 2019 link
  • Towards a framework for certification of reliable autonomous systems, M Fisher, V Mascardi, KY Rozier, BH Schlinglof, M Winikoff, N Yorke-Smith - Autonomous Agents and Multi-Agent Systems 2021 link
  • Verifying the safety of autonomous systems with neural network controllers, R Ivanov, TJ Carpenter, J Weimer, R Alur, GJ Pappas, I Lee - ACM Transactions on Embedded Computing Systems 2020 link
  • A Review of Verification and Validation for Space Autonomous Systems, RC Cardoso, G Kourtis, LA Dennis, C Dixon, M Farrell, M Fisher, M Webster - Current Robotics Reports 2021 link
  • Formal verification of colreg-based navigation of maritime autonomous systems, F Shokri-Manninen, J Vain, M Waldén - Proceedings of SEFM 2020 link
  • Compositional verification for autonomous systems with deep learning components, CS Păsăreanu, D Gopinath, H Yu - Safe, Autonomous and Intelligent Vehicles 2019 link
  • Recent trends in formal validation and verification of autonomous robots software, F Ingrand - IEEE International Conference on Robotic Computing, 2019 link
  • On-line testing for autonomous systems driven by RISC-V processor design verification, A Ruospo, R Cantoro, E Sanchez, PD Schiavone, A Garofalo, L Benini - IEEE International Symposium on Defect and Fault Tolerance in VLSI and Nanotechnology Systems 2019 link
  • Testing, Validation, and Verification of Robotic and Autonomous Systems: A Systematic Review, H Araujo, MR Mousavi, M Varshosaz - ACM Transactions on Software Engineering and Methodology 2022 link
  • Verifiable self-aware agent-based autonomous systems, LA Dennis, M Fisher - Proceedings of the IEEE 2020 link
  • Reliability and safety of autonomous systems based on semantic modelling for self-certification, O Zaki, M Dunnigan, V Robu, D Flynn - Robotics 2021 link
  • Autonomics: In search of a foundation for next-generation autonomous systems, D Harel, A Marron, J Sifakis - Proceedings of the National Academy of Sciences 2020 link
  • DIAT: Data Integrity Attestation for Resilient Collaboration of Autonomous Systems, T Abera, R Bahmani, F Brasser, A Ibrahim, AR Sadeghi, M Schunter - NDSS 2019 link
  • Neural bridge sampling for evaluating safety-critical autonomous systems, A Sinha, M O'Kelly, R Tedrake, JC Duchi - NeurIPS 2020 link
  • Security in autonomous systems, S Katzenbeisser, I Polian, F Regazzoni, M Stottinger - IEEE European Test Symposium 2019 link
  • Assured Autonomy: Path Toward Living With Autonomous Systems We Can Trust, U Topcu, N Bliss, N Cooke, M Cummings, A Llorens, H Shrobe, L Zuck, arXiv preprint 2020 link
  • Guidance on the assurance of machine learning in autonomous systems (AMLAS), R Hawkins, C Paterson, C Picardi, Y Jia, R Calinescu, I Habli, arXiv prepring 2021 link
  • Assured Autonomy Survey, C Rouff, L Watkins - Foundations and Trends in Privacy and Security 2022 link
  • Autonomous Systems Design: Charting a New Discipline, S Saidi, J Deshmukh, D Ziegenbein, R Ernst - IEEE Design & Test 2021 link
  • A Scenario Approach to Risk-Aware Safety-Critical System Verification, P Akella, M Ahmadi, A Ames - ArXiv preprint 2022 link
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