ORIGINAL PAPER
Application of direct and inverse kinematics and dynamics in motion planning of manipulator links
 
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Department of Applied Mechanics and Mechanical Engineering, Technical University of Košice, Faculty of Mechanical Engineering, Slovak Republic
 
 
Submission date: 2023-06-22
 
 
Acceptance date: 2023-07-12
 
 
Online publication date: 2023-09-29
 
 
Publication date: 2023-09-29
 
 
Corresponding author
Peter Frankovský   

Department of Applied Mechanics and Mechanical Engineering, Technical University of Košice, Faculty of Mechanical Engineering, Letna 9, 042 00, Košice, Slovak Republic
 
 
International Journal of Applied Mechanics and Engineering 2023;28(3):53-64
 
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ABSTRACT
For the synthesis of manipulators and robots, an accurate analysis of the movements of the individual links is essential. This thesis deals with motion planning of the effector of a multi-linked manipulator. An important topic in this area is the orientation and position of links and kinematic pairs in space. In particular, attention should be paid to the position of their endpoint as well as other significant points. Trajectory planning allows the manipulator to perform complex tasks, such as picking and placing objects or following a particular path in space. Overall, trajectory planning of a multibody manipulator involves a combination of direct and inverse kinematics calculations, as well as control theory and optimization techniques. It is an important process enabling manipulators to perform complex tasks such as assembly, handling and inspection. In the design of robot kinematic structures, simulation programs are currently used for their kinematic and dynamic analysis. The proposed manipulator was first solved by inverse kinematics problem in Matlab. Subsequently, the trajectories of the end-effector were determined in Matlab by a direct kinematics problem. In Simulink, using the SimMechanics library, the inverse problem of dynamics was used to determine the trajectories of the moments.
ACKNOWLEDGEMENTS
The work was supported by the grant projects VEGA No. 1/0500/20 and VEGA No. 1/0201/21.
 
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