Shen Qiujie Postgraduate Student, Bauman Moscow State Technical University (BMSTU).
105005, 2nd Baumanskaya str., 5, bld. 1, Moscow, Russia, email shencr0929@gmail.com.
Research interests: artificial intelligence, mivar technologies of logical artificial intelligence, information processing, pattern recognition, cybernetics.
Gong Shengshuo Postgraduate Student, Bauman Moscow State Technical University (BMSTU).
105005, 2nd Baumanskaya str., 5, bld. 1, Moscow, Russia, email hiteyeb@163.com.
Research interests: artificial intelligence, mivar technologies of logical artificial intelligence, information processing, pattern recognition, cybernetics.
Varlamov Oleg Olegovich Doctor of Technical Sciences, Professor; 1) Chief Researcher, JSC "Research Institute of Computing Complexes"; 2) Professor of the Basic Department No. 254 of Computing Complexes, Institute of Artificial Intelligence, RTU MIREA; 3) Professor of the Department of Information Processing and Control Systems, BMSTU.
1) 117437, Profsoyuznaya str., 108, Moscow, Russia, email ovar@narod.ru.
2) 119454, Vernadsky Avenue, 78, Moscow, Russia, email ovar@narod.ru.
3) 105005, 2nd Baumanskaya str., 5, bld. 1, Moscow, Russia, email ovar@narod.ru.
Research interests: artificial intelligence, expert systems, logic, mivar technologies of logical artificial intelligence, information processing, decision-making, pattern recognition, natural language understanding, cybernetics, autonomous robotic complexes.
Adamova Larisa Evgenievna Candidate of Psychological Sciences, Associate Professor; Associate Professor of the Department of General Psychology and Psychology of Labor, Russian New University (RosNOU).
105005, Radio str., 22, Moscow, Russia, email larisapers@yandex.ru.
Research interests: psychology, artificial intelligence, mivar technologies of logical artificial intelligence.
Balenko Elena Georgievna Candidate of Agricultural Sciences, Associate Professor; Head of the Department of Natural Sciences, Don State Agrarian University.
346493, Krivoshlykova str., 24, Persianovsky village, Oktyabrsky district, Rostov region, Russia, email balenko2008@mail.ru.
Research interests: physics, artificial intelligence, mivar technologies of logical artificial intelligence, information processing.
UDC 004.891 DOI 10.24412/2413-7383-2024-3-164-176 Language: Russian Annotation:
An algorithm for dynamic path planning of a ground robot based on semantic object detection technology is developed to improve human safety when robots operate in large spaces. Our study takes into account the psychological characteristics of human behavior and movement in large spaces. The algorithm combines 2D laser scanning data with information on the categories and positions of objects identified by object detection in images. Depending on the importance of the object category, the algorithm increases the obstacle area on the map, which allows the robot to avoid important objects (e.g., children) when planning a route and improves the safety of the robot in the presence of people. The mivar expert system implements a corresponding prototype of the data fusion algorithm, which can be used in airports, railway stations, shopping malls and other places to improve human safety when robots operate in large spaces. Keywords: mivar, mivar expert systems, pattern understanding, trajectory planning, object detection, data fusion, obstacle magnification, indoor environment, robot safety.
List of literature: 1. Varlamov O. O. Evolutionary databases and knowledge bases for adaptive synthesis of intelligent systems. Mivar information space. Moscow: "Radio and communication", 2002. 286 p. EDN RWTCOP.
2. Varlamov O. O., Antonov P. D., Chibirova M. O., et al. MIVAR: a machine-implemented method for automated construction of a logical inference route in a knowledge base // Radio Industry. 2015. No. 3. Pp. 28-43. EDN: UQEPGD.
3. Vladimirov A. N., Varlamov O. O., Nosov A. V., Potapova T. S. Software package "UDAV": practical implementation of active learning logical inference with linear computational complexity based on a mivar rule network // Transactions of the Radio Research Institute. 2010. No. 1. Pp. 108-116. EDN: MKQGGT.
4. Varlamov O. O., Chibirova M. O., Sergushin G. S., Eliseev D. V. Practical implementation of the universal problem solver "UDAV" with linear complexity of logical inference based on the mivar approach and "cloud" technologies // Devices and systems. Management, control, diagnostics. 2013. No. 11. Pp. 45-55. EDN: SQKHXZ.
5. Varlamov O. O., Adamova L. E., Eliseev D. V. et al. Complex modeling of the processes of understanding the meaning of texts, speech and images by computers based on mivar technologies // Artificial Intelligence. 2013. No. 4. Pp. 15-27. EDN: TZWCPV.
6. Varlamov O. O., Maiboroda Yu. I., Sergushin G. S., Khadiev A. M. Application of mivar expert systems for solving text understanding and image recognition problems // In the world of scientific discoveries. 2015. No. 6 (66). P. 205-214. EDN: TVPWED.
7. Volkov A. S., Varlamov O. O. On the creation of a two-level neural network structure for use in mechanical engineering // In the collection: MIVAR'22. Moscow, 2022. P. 251-261. EDN: TXESUT.
8. Blokhina S. V., Adamova L. E., Kolupaeva E. G. et al. Development of educational programs with elements of artificial intelligence for training in the field of information security and personal data protection // Artificial Intelligence. 2009. No. 3. P. 328-335. EDN: TIFIGN.
9. Badalov A.Yu., Varlamov O.O., Sandu R.A., et al. Active mivar internet encyclopedia and development of mivar networks based on multidimensional binary matrices for simultaneous evolutionary processing of more than 10,000 rules in real time // Artificial Intelligence. 2010. No. 4. P. 549-557. EDN: UIMXAV.
10. Podkosova Ya.G., Varlamov O.O., Ostroukh A.V., Krasnyansky M.N. Analysis of prospects for using virtual reality technologies in distance learning // Issues of modern science and practice. Vernadsky University. 2011. No. 2 (33). P. 104-111. EDN: NUAKBP.
11. Kim H., Chuvikov D.A., Aladin D.V., et al. Creation of a knowledge base for a mivar expert system for diagnosing diabetes mellitus // Medical equipment. 2020. No. 6 (324). P. 38-41. EDN: EDXBGK.
12. Beloussov E.A., Popov I.A., Evdokimov A.A., et al. A recommender system for diagnosing diabetes mellitus based on the mivar inference mechanism // Natural and technical sciences. 2021. No. 7 (158). P. 169-174. EDN: JSFUSI.
13. Chestnova E.A., Fedoseeva E.Yu., Vaganov D.D., et al. Development of a knowledge base of the MES for the selection of dosage forms for antibiotics and antimycotics / // Natural and technical sciences. 2023. No. 5(180). P. 29-33. DOI 10.25633/ETN.2023.05.01. EDN WOZCUJ.
14. Varlamov O. O. Information processing systems and interaction of groups of mobile robots based on mivar information space // Artificial Intelligence. 2004. No. 4. P. 695-700. EDN: TIFIQD.
15. Sergushin G. S., Varlamov O. O., Chibirova M. O. et al. Study of the possibilities of information modeling of complex process control systems based on mivar technologies // Automation and control in technical systems. 2013. No. 2 (4). P. 51-66. EDN: RDWXUT.
16. Varlamov O.O., Aladin D.V., Saraev D.V., et al. On the possibility of creating decision-making systems for autonomous robots based on mivar expert systems processing more than 1 million production rules/sec. // Bulletin of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences. 2017. No. 6-2 (80). P. 54-61. EDN: TIVUDN.
17. Varlamov O.O., Lazarev V.M., Chuvikov D.A., Jha P. On the prospects for creating autonomous intelligent robots based on mivar technologies // Radio Industry. 2016. No. 4. P. 96-105. EDN: UQEVLG.
18. Varlamov O.O. On one approach to the metrics of autonomy and intelligence of robotic complexes // Bulletin of the Kabardino-Balkarian Scientific Center of the Russian Academy of Sciences. 2017. No. 6-2 (80). P. 43-53. EDN: YWNDPI.
19. Varlamov O. O. On the metrics of autonomy and intelligence of robotic complexes and cyber-physical systems // Radio Industry. 2018. No. 1. P. 74-86. EDN: YQYQPV.
20. Varlamov O. O., Aladin D. V. Successful application of mivar expert systems for MIPRA - solving problems of planning actions of robotic complexes in real time // Radio Industry. 2019. No. 3. P. 15-25. EDN: EVFEAK.
21. Terekhov, V.I.; Goryachkin, B.S. Development of Actual Scientific Directions as a Continuation of Scientific Schools of the Department “Information Processing and Control Systems”, Bauman Moscow State Technical University // Dynamics of Complex Systems - XXI Century. 2023. Т. 17, № 3. С. 25-33. DOI 10.18127/j19997493-202303-04. EDN CLLMCH.
22. Goryachkin, B.S.; Baibarin, R.G.; Tyulkina, N.V.; Zaprudnov, M.S. Ergonomic analysis of the mivar model representations (in Russian) // Natural and Technical Sciences. 2022. № 4(167). С. 162-174. EDN MYQLZN.
23. Andreev, A.V.; Kraichikov, O.D.; Karpov, D.K., et al. BZ MES on movie selection // Mivar'22: Collection of scientific articles. Moscow: Infra-M, 2022.
24. Bondarenko I.G., Grishin S.V., Strihar P.A., et al. MES of optimal character selection in the DOTA 2 game project // Mivar'23. Moscow: Infra-M, 2023. С. 27-32. EDN VIUHEB.
25. Bogomolov, D.N.; Umryaev, D.T.; Krotov, Yu. MES for automation of request solving in the technical support service // Mivar'22. Moscow: Infra-M, 2022. С. 20-28. EDN VEFYTJ.
26. Kotsenko, A.A. Development of the methodology of automatic generation of mivar knowledge bases of three-dimensional logical space // Information and Education: communication boundaries. 2023. № 15(23). С. 304-308. DOI 10.59131/2411-9814_2023_15(23)_304. EDN MLGYNM.
27. Gavrilyuk A.G., Khotin P.Y., Chernata N.S., et al. BZ MES of notebook selection // Mivar'22: Collection of scientific articles. Moscow: Infra-M, 2022. С. 129-136. EDN FZKYHL.
28. Vorontsova, A.V.; Verevkina, D.V.; Vanina, P.V. et al. MES for distribution of work tasks between employees // Mivar'23. Moscow: INFRA-M, 2023. С. 63-73. EDN ZOOLHR.
29. Shevtsova Y.B., Zamula A.I., Myshenkov K.S., et al. GIIS of human assessment by photo and issuing nutritional recommendations // Mivar'22. Moscow: Infra-M, 2022. С. 309-314. EDN JJGWRP.
30. Dyatlenko, E.A.; Evdokimov, A.A.; Nikolskiy, D.R. et al. MES for recognizing interior objects // Mivar'23. Moscow: INFRA-M, 2023. С. 87-95. EDN SJMPZG.
31. Bento J. et al. Proximal operators for multi-agent path planning // Proceedings of the AAAI Conference on Artificial Intelligence. 2015. Vol. 29, № 1.
32. Yuan C. et al. An efficient RRT cache method in dynamic environments for path planning // Robotics and Autonomous Systems. 2020. Vol. 131. P. 103595.
33. DPM, a fast, accurate Monte Carlo code optimized for photon and electron radiotherapy treatment planning dose calculations - IOPscience [Electronic resource]. URL: https://iopscience.iop.org/article/10.1088/0031-9155/45/8/315/meta (accessed: 07.06.2024).
34. Girshick R. Fast R-CNN. 2015. P. 1440-1448.
35. Xu X. et al. A review of multi-sensor fusion slam systems based on 3D LIDAR // Remote Sensing. MDPI, 2022. Vol. 14, № 12. P. 2835.
Release: 4(35)'2024
Chapter: SYSTEM ANALYSIS, CONTROL AND INFORMATION PROCESSING, STATISTICS
How to quote:
Shen Qiujie Gong Shenshuo Varlamov O. O. Adamova L. E. Balenko E. G. DYNAMIC ROBOT PATH PLANNING BASED ON SEMANTIC OBJECT DETECTION USING MIVAR EXPERT SYSTEM [Text]
/ Shen Qiujie Gong Shenshuo O. O. Varlamov L. E. Adamova E. G. Balenko
// Problems of artificial intelligence. - 2024. № 4 (35). - P. 164-176. - http://paijournal.guiaidn.ru/ru/2024/4(35)-14.html