Editorial of Special Issue on UAV Autonomous, Intelligent and Safe Control
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Guidance, Navigation and ControlVol. 01, No. 04, 2102001 (2021) Free AccessEditorial of Special Issue on UAV Autonomous, Intelligent and Safe ControlYoumin Zhang and Delin LuoYoumin ZhangDepartment of Mechanical, Industrial and Aerospace Engineering, Concordia University, Montreal, Quebec H3G 1M8, Canada and Delin LuoSchool of Space Engineering, Xiamen University, Xiamen 361102, P. R. Chinahttps://doi.org/10.1142/S2737480721020015Cited by:0 Next This article is part of the issue: Special Issue on UAV Autonomous, Intelligent and Safe ControlGuest Editors: Youmin Zhang and Delin Luo AboutSectionsPDF/EPUB ToolsAdd to favoritesDownload CitationsTrack CitationsRecommend to Library ShareShare onFacebookTwitterLinked InRedditEmail References 1. H. B. Duan and Y. X. Wang , Editorial Preface, Guidance, Navigation and Control 1(1), 1–4 (2021). Link, Google Scholar2. L. Yan, H. B. Duan and X. Yu , Advances in Guidance, Navigation and Control ( Springer: Singapore, 2022). Crossref, Google Scholar3. M. L. Lan, S. P. Lai, T. H. Lee and B. M. Chen , A survey of motion and task planning techniques for unmanned multicopter systems, Unmanned Systems 9(2), 165–198 (2021). Link, Google Scholar4. S. H. Yuan, H. Wang and L. H. Xie , Survey on localization systems and algorithms for unmanned systems, Unmanned Systems 9(2), 129–163 (2021). Link, Google Scholar5. Y. L. Ding, B. Xin and J. Chen , A review of recent advances in coordination between unmanned aerial and ground vehicles, Unmanned Systems 9(2), 97–117 (2021). Link, Google Scholar6. K. Nonami , Present state and future prospect of autonomous control technology for industrial drones, IEEJ Transactions on Electrical and Electronics Engineering 15, 6–11 (2020). Crossref, Google Scholar7. M. A. Kamel, X. Yu and Y. M. Zhang , Formation control and coordination of multiple unmanned ground vehicles in normal and faulty situations: A review, Annual Reviews in Control 49, 128–144 (2020). Crossref, Google Scholar8. K. P. Valavanis , Unmanned aircraft systems challenges in design for autonomy, in Proceedings of the 11th International Workshop on Robot, Motion and Control, Wasowo Palace, Poland, July 3–5, 73–86 (2017). Crossref, Google Scholar9. T. Zhang, Q. Li, C. S. Zhang, H.-W. Liang, P. Li, T.-M. Wang, S. Li, Y.-L. Zhu and C. Wu , Current trends in the development of intelligent unmanned autonomous systems, Frontiers of Information Technology & Electronic Engineering 18(1), 68–85 (2017). Crossref, Google Scholar10. Z. X. Liu, Y. M. Zhang, X. Yu and C. Yuan , Unmanned surface vehicles: An overview of developments and challenges, Annual Reviews in Control 41, 71–93 (2016). Crossref, Google Scholar11. K. P. Valavanis and G. J. Vachtsevanos , Handbook of Unmanned Aerial Vehicles, Springer: Dordrecht, Netherlands (2015). Crossref, Google Scholar12. Y. B. Sebbane , Smart Autonomous Aircraft: Flight Control and Planning for UAV, CRC Press (Taylor & Francis Group): Boca Raton, USA (2015). Crossref, Google Scholar13. X. Yu, L. Guo, Y. M. Zhang and J. Jiang , Autonomous Safety Control of Flight Vehicles, CRC Press (Taylor & Francis Group): Boca Raton, USA (2021). Crossref, Google Scholar14. I. Sadeghzadeh and Y. M. Zhang , Review on fault tolerant control for unmanned aerial vehicles (UAVs), AIAA [email protected] 2011: Unleashing Unmanned Systems, St. Louis, Missouri, USA, March 29–31, 2011(AIAA-2011-1472). Crossref, Google Scholar15. Y. M. Zhang, A. Chamseddine, C. A. Rabbath, B. W. Gordon, C.-Y. Su, S. Rakheja, C. Fulford, J. Apkarian and P. Gosselin , Development of advanced FDD and FTC techniques with application to an unmanned quadrotor helicopter testbed, Journal of the Franklin Institute 350(9), 2396–2422 (2013). Crossref, Google Scholar16. M. Z. Huo, H. B. Duan and X. L. Ding , Manned aircraft and unmanned aerial vehicle heterogeneous formation flight control via heterogeneous pigeon flock consistency, Unmanned Systems 9(3), 227–236 (2021). Link, Google Scholar17. Z. Q. Yu, Y. M. Zhang, B. Jiang, J. Fu and Y. Jin , A review on fault-tolerant cooperative control of multiple unmanned aerial vehicles, Chinese Journal of Aeronautics (2021), https://doi.org/10.1016/j.cja.2021.04.022. Google Scholar18. H. Yang, Q.-L. Han, X. H. Ge, L. Ding, Y. H. Xu, B. Jiang and D. H. Zhou , Fault-tolerant cooperative control of multiagent systems: A survey of trends and methodologies, IEEE Transactions on Industrial Informatics 16(1), 4–17 (2020). Crossref, Google Scholar19. X.-M. Zhang, Q.-L. Han, X. H. Ge, D. R. Ding, L. Ding, D. Yue and C. Peng , Networked control systems: A survey of trends and techniques, IEEE/CAA Journal Automatica Sinica 7(1), 1–17 (2020). Google Scholar FiguresReferencesRelatedDetails Recommended Vol. 01, No. 04 Metrics Downloaded 75 times History PDF download
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it