An Algorithm in the Process of Planning of Safety Pathway – A Collision-Free Pathway of a Robot

• Autorzy: Daneshjo Naqib , Olexová Cecilia , Králik Marián , Danishjoo Enayat

Identyfikatory

DOI

10.12913/22998624/110154

• Języki publikacji: EN

Abstrakty

EN

The paper was based on research tasks in the field of robotics. It approaches solving the collision states of a robot while operating equipment and applies the knowledge in the CATIA system environment. Motion Planning is of paramount importance in robotics, where a goal is to determine a collision-free, unobstructed path for a robot that works in an environment which contains obstacles. An obstacle can be an object that is found in the robot’s workspace.

Słowa kluczowe

EN

collision states of a robot; motion planning; robot’s workspace; CATIA

PL

stany kolizji robota; planowanie ruchu; przestrzeń robocza robota; CATIA

• Wydawca: Lublin University of Technology ; Polish Society of Ecological Engineering (PTIE), Branch of PTIE in Lublin
• Czasopismo: Advances in Science and Technology. Research Journal
• Rocznik: 2019
• Tom: Vol. 13, no 3
• Strony: 16--23
• Opis fizyczny: Bibliogr. 12 poz., fig., tab.

Twórcy

autor

Daneshjo Naqib

• Faculty of Business Economics with seat in Kosice, University of Economics in Bratislava, Slovakia

autor

Olexová Cecilia

• Faculty of Business Economics with seat in Kosice, University of Economics in Bratislava, Slovakia

autor

Králik Marián

• Slovak University of Technology in Bratislava, Faculty of Mechanical Engineering, Namestie slobody 17, 81231 Bratislava, Slovakia

autor

Danishjoo Enayat

• THK Rhythm Automotive GMBH, Duesseldorf, Germany

Bibliografia

• 1. Berg, D.M., Otfreid, C., Kreveld, M., Overmars, M.: Computational geometry – Algorithms and applications, Springer, 2008.
• 2. Angeles, J.: Fundamentals of robotic mechanical systems: Theory, methods, and algorithms, Second Edition. Springer, 2014.
• 3. Carbone, G., Gomez-Bravo, F.: Motion and Operation Planning of Robotic Systems. Background and Practical Approaches. Springer, 2015.
• 4. Daneshjo, N., Majernik, M., Dudaš Pajerská, E. Danishjoo, M.: Methodological Aspects of Modelling and Simulation of Robotized Workstations. TEM Journal, 2 (2018). 293–300,
• 5. Daneshjo, N., Hajduova, Z., Dudas Pajerska, E., Danishjoo, E.: Design of dedicated automated devices with cad support. Modern Machinery Science Journal, March (2018), 2795–2799.
• 6. Daneshjo, N., Hajduová, Z., Dudaš Pajerská, E., Danishjoo, E.: Specification of the application of vibrodiagnostics in assessing the state of the industrial robot. Advances in Science and Technology – Research Journal. 13 (2019), 68–78.
• 7. Komak, M., Králik, M., Jerz, V.: The generation of robot effector trajectory avoiding. Modern Machinery Science Journal, June (2018), 2367–2372.
• 8. Fabian, M., Boslai, R., Ižol, P., Janeková, J., Fabianová, J., Fedorko, G., Božek, P.: Use of parametric 3D modelling – Tying parameter values to spreadsheets at designing molds for plastic injection. Manufacturing Technology, 15 (2015), 24–31.
• 9. Manová, E., Čulková, K., Lukáč, J., Simonidesová, J., Kudlová, J.: Position of the chosen industrial companies in connection to the mining. Acta Montanistica Slovaca. Košice: Technical University of Košice, 23 (2018), 132–140.
• 10. Palko, A., Smrček, J.: The use of pneumatic artificial muscles in robot construction. Industrial Robot – An international journal. 1 (2011), 11–19.
• 11. Smrček, J. Palko, A., Tuleja, P.: Biomechanical gripper – new mechanism effector for robots. Budowa i eksploatacja maszyn. 12 (2004), 227–238.
• 12. Yatsenko, V.: Fast exact method for solving the travelling salesman problem. Journal of automation and information science, February (2007).

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).