Difference between revisions of "Portal:Sources"

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== Conferences ==
== Conferences ==
*
*
== Most recent papers ==
Ordered by number of citations
* 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]
* Reaching Out Towards Fully Verified Autonomous Systems, S Sankaranarayanan, S Dutta, S Mover - Proceedings of RP 2019 [https://link.springer.com/chapter/10.1007/978-3-030-30806-3_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]
* Safety Verification of Autonomous Systems: A Multi-Fidelity Reinforcement Learning Approach, JJ Beard, A Baheri - arXiv preprint 2022 [https://arxiv.org/abs/2203.03451 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]

Revision as of 14:54, 19 September 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]

Best practices

Books on verification

  • Model checking book. E. Clarke
  • Other model checking book by Peter Katoen
  • 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

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 [2] - 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

Most recent papers

Ordered by number of citations

  • 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
  • Reaching Out Towards Fully Verified Autonomous Systems, S Sankaranarayanan, S Dutta, S Mover - Proceedings of RP 2019 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
  • Safety Verification of Autonomous Systems: A Multi-Fidelity Reinforcement Learning Approach, JJ Beard, A Baheri - arXiv preprint 2022 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
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