Preview

Omsk Scientific Bulletin

Advanced search

Analysis of instantaneous states of the output link of anthropomorphic robot mechanism using geometric modeling methods

https://doi.org/10.25206/1813-8225-2025-195-5-12

EDN: HIKOLK

Abstract

The analysis of instantaneous states of the moving system connected with the output link of the anthropomorphic robot is carried out based on the use of graphical constructions performed on the frontal and horizontal projections. The constructions of the velocity plane and the velocity beam are performed for the obtained instantaneous values of generalized velocities using the example of the given synthesis of small motions of the robot mechanism. The synthesis of movements is based on the use of matrices of partial gear ratios using the criterion of minimizing the quadratic functional of the volume of movement. The graphical analysis of the components of the vectors of absolute linear velocities of three points of the moving system made it possible to determine the method for calculating intermediate configurations of the arm of the anthropomorphic robot based on the use of weight coefficients of generalized velocities. The results of calculating the test task in computer modeling of the movement of the anthropomorphic robot are presented.

About the Authors

F. N. Pritykin
Omsk State Technical University
Russian Federation

PRITYKIN Fedor Nikolayevich, Doctor of Technical Sciences, Professor, Professor of the Engineering Geometry and CAD Department

AuthorID (SCOPUS): 6507269253

Omsk



D. B. Fedorov
Omsk State Technical University
Russian Federation

FEDOROV Dayan Borisovich, Lecturer of the Engineering Geometry and CAD Department

Omsk



References

1. Zheng X., Han Y., Liang J. Anthropomorphic motion planning for multi-degree-of-freedom arms. Frontiers in Bioengineering and Biotechnology. 2024. P. 1–16. DOI: 10.3389/fbioe.2024.1388609.

2. Pritykin F. N. Virtual’noye modelirovaniye dvizheniy robotov, imeyushchikh razlichnuyu strukturu kinematicheskikh tsepey [Virtual simulation of robot movements with different kinematic chain structures]. Omsk, 2014. 172 p. EDN: RVBBIB. (In Russ.).

3. Korendyasev A. I., Salamandra B. L., Tyves L. I. Manipulyatsionnyye sistemy robotov [Robot manipulation systems]. Moscow, 1989. 472 p. ISBN 5-217-00461-4. (In Russ.).

4. Kobrinskiy А. А., Kobrinskiy А. E. Manipulyatsionnyye sistemy robotov [Robot manipulation systems]. Moscow, 1985. 343 p. (In Russ.).

5. Kim H., Li Z., Milutinovic D., Rosen J. [et al.]. Resolving the redundancy of aseven dof wearable robotic system based on kinematic and dynamic constraint. 2012 IEEE International Conference on Robotics and Automation. 2012. P. 305–310. DOI: 10.1109/icra.2012.6224830.

6. Zacharias F., Schlette C., Schmidt F. [et al.]. Making planned paths look more human-like in humanoid robot manipulation planning. Proceedings – IEEE International Conference on Robotics and Automation. 2011. DOI: 10.1109/ICRA.2011.5979553.

7. Yamane K. Kinematic redundancy resolution for humanoid robots by humanmotion database. IEEE Robotics Automation Lett. 2020. Vol. 5 (4). P. 6948–6955. DOI: 10.1109/lra.2020.3026972.

8. Kim S., Kim C., Park J. H. Human-like arm motion generation for humanoid robots using motion capture database. 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems. 2006. P. 3486–3491. DOI: 10.1109/iros.2006.282591.

9. Huang Zhang H. T., Yang C., Chen C. L. P. Motor learning and generalization using broad learning adaptive neural control. IEEE Transactions on Industrial Electronics. 2020. Vol. 67 (10). P. 8608–8617. DOI: 10.1109/tie.2019.2950853.

10. Nagahama K., Demura S., Yamazaki K. Robot learning of tool manipulation based on visual teaching with mitate expression. Advanced Robotics. 2021.Vol. 35 (12). P. 741–755. DOI: 10.1080/01691864.2021.1914724.

11. Deng M., Li Z., Kang Y. [et al.]. A learning-based hierarchical control scheme for an exoskeleton robot in human– robot cooperative manipulation. IEEE Transactions on Cybernetics. 2020. Vol. 50 (1). P. 112–125. DOI: 10.1109/tcyb.2018. 2864784.

12. Sasagawa A., Sakaino S., Tsuji T. Motion generation using bilateral control-based imitation learning with autoregressive learning. IEEE Access. 2021. Vol. 9. P. 20508–20520. DOI: 10.1109/access.2021.3054960.

13. Yang A., Chen Y., Naeem W., Fei M. Humanoid motion planning of robotic arm based on human arm action feature and reinforcement learning. Mechatronics. 2021. Vol. 78. 102630. DOI:10.1016/j.mechatronics.2021.102630.

14. Qian K., Liu H., Valls Miro J. [et al.]. Hierarchical and parameterized learning of pick-and-place manipulation from under-specified human demonstrations. Advanced Robotics. 2020. Vol. 34 (13). P. 858–872. DOI: 10.1080/01691864.2020.1778523.

15. Lu Z., Wang N., Li Q., Yang C. A trajectory and force dualincremental robot skill learning and generalization framework using improved dynamical movement primitives and adaptive neural network control. 2023. Neurocomputing. Vol. 521 (5). P. 146–159. DOI: 10.1016/j.neucom.2022.11.076.

16. Luchshiye simulyatory robotov [Best robot simulators]. URL: https://formant.io/blog/best-robot-simulators/ (accessed: 14.02.2025). (In Russ.).

17. Sirazetdinov R. T., Devayev V. M., Kamalov A. R., Katsevman E. M. Programmnyy kompleks modelirovaniya i virtualizatsii antropomorfnogo robota AR-601 na osnove sistem ROS I GAZEBO [Software package for modeling and virtualization of the AR-601 anthropomorphic robot based on the ROS and GAZEBO systems]. Imitatsionnoye Modelirovaniye. Teoriya i Praktika. In 2 vols. Moscow, 2015. Vol. 2. P. 328–331. (In Russ.).

18. Artobolevskiy I. I. Teoriya prostranstvennykh mekhanizmov [Theory of spatial mechanisms]. Moscow; Leningrad, 1937. 236 p. (In Russ.).

19. Dimentberg F. M. Teoriya vintov i eye prilozheniya [Theory of screws and its applications]. Moscow, 1978. 328 p. (In Russ.).

20. Mertsalov N. I. Teoriya prostranstvennykh mekhanizmov [Theory of spatial mechanisms]. Moscow, 1951. 206 p. (In Russ.).

21. Tevlin A. M., Pritykin F. N. Geometricheskiy metod opredeleniya mgnovennoy vintovoy osi pri slozhenii trekh vintovykh dvizheniy [Geometric method for determining the instantaneous screw axis by adding three screw motions]. Sovremennyye problemy dinamiki mashin i ikh sintez. Modern Problems of Machine Dynamics and Their Synthesis. Moscow, 1986. P. 4–8. (In Russ.).

22. Pritykin F. N., Kaybyshev A. V. Analiz mgnovennykh sostoyaniy vykhodnogo zvena shestizvennogo prostranstvennogo manipulyatora s pomoshch’yu postroyeniya skorostnoy ploskosti na kompleksnom chertezhe [Analysis of instantaneous states of the output link of a six-link spatial manipulator by the construction of a velocity plane on a complex drawing]. Prilozheniye k zhurnalu «Omskiy nauchnyy vestnik». Omsk Scientific Bulletin Supplement. Omsk, 1998. P. 36–44. (In Russ.).

23. Afonin V. L., Makushkin V. A. Intellektual’nyye robototekhnicheskiye sistemy [Intelligent robotic systems]. Moscow, 2005. 208 p. ISBN 5-9556-0024-8. EDN: SUIEOF. (In Russ.).


Review

For citations:


Pritykin FN, Fedorov DB. Analysis of instantaneous states of the output link of anthropomorphic robot mechanism using geometric modeling methods. Omsk Scientific Bulletin. 2025;(3):5-12. (In Russ.) https://doi.org/10.25206/1813-8225-2025-195-5-12. EDN: HIKOLK

Views: 27

JATS XML


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1813-8225 (Print)
ISSN 2541-7541 (Online)