SEARCH TRAJECTORY OF ROBOT MANIPULATORS FOR ASSEMBLY AND WELDING IN A WORKSPACE WITH OBSTACLES

Main Article Content

L. LOBOREVA
М. KOZHEVNIKOV

Abstract

The search for trajectories of assembly and welding robot manipulators in a working environment with obstacles is considered. A new method and algorithms for searching the trajectories of robot manipulators for assembly and welding based on a neural network are proposed. The proposed approach, unlike the known ones, allows to effectively take into account the complex shape of the elements of the robotic technological cell. The effectiveness of the proposed approach is confirmed by the results of modeling.

Article Details

How to Cite
LOBOREVA, L., & KOZHEVNIKOV М. (2017). SEARCH TRAJECTORY OF ROBOT MANIPULATORS FOR ASSEMBLY AND WELDING IN A WORKSPACE WITH OBSTACLES. Vestnik of Polotsk State University. Part B. Industry. Applied Sciences, (11), 43-50. Retrieved from https://journals.psu.by/industry/article/view/3499

References

Salzman, O. Asymptotically near-optimal RRT for fast, high-quality, motion planning / O. Salzman, D. Halperin // In Proc. IEEE Int. Conf. Robot. Autom. – 2014. – P. 4680–4685.

Geraerts, G.J. Reachability-based Analysis for Probabilistic Roadmap Planners / G.J. Geraerts, M.H. Overmars // Journal of Robotics and Autonomous Systems. – 2007. – № 55. – Р. 824–836.

Tangent bundle RRT: A randomized algorithm for constrained motion planning / B. Kim [et al.] // Robotica. – 2016. – 34. – Р. 202–225.

Lavalle, S.M. On the relationship between classical grid search and probabilistic roadmaps / S.M. Lavalle, M. Branicky, S.R. Lindemann // International Journal of Robotic Research. – 2004. – № 23 (7/8). – P. 673–692.

Pashkevich, A.P. Neural network approach to collision free path planning for robotic manipulators / A.P. Pashkevich, M.M. Kazheunikau, A.E. Ruano // International Journal of Systems Science. – 2006. – № 37 (8). – P. 555–564.

Kavraki, L.E. Motion planning / L.E. Kavraki, S.M. Lavalle. Chap. 7 in B. Siciliano and O. Khatib, ed., Springer Handbook of Robotics. – 2nd ed. – Berlin : Springer, 2016. – P. 139–158.

Bugmann, G. Route finding by neural nets / G. Bugmann, J.G. Tylor, M.J. Denham // Neural Networks. – 1995. – P. 217–230.

Althoefer, K. Neuro-Fuzzy Motion Planning / K. Althoefer. – London : University of London, 1996. – P. 120.

Кожевников, М.М. Нейросетевой подход к планированию траекторий промышленных роботов-манипуляторов / М.М. Кожевников, А.В. Господ, Л.А. Лоборева // Информационные технологии и системы : материалы междунар. науч. конф. 24 окт. 2012 г. – Минск : БГУИР. – 2012. – С. 86–87.