2012
DOI: 10.5772/50203
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Kinematic Modelling and Simulation of a 2-R Robot Using SolidWorks and Verification by MATLAB/Simulink

Abstract: The simulation of robot systems is becoming very popular, especially with the lowering of the cost of computers, and it can be used for layout evaluation, feasibility studies, presentations with animation and offline programming.The trajectory planning of redundant manipulators is a very active area since many tasks require special characteristics to be satisfied. The importance of redundant manipulators has increased over the last two decades because of the possibility of avoiding singularities as well as obs… Show more

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Cited by 58 publications
(39 citation statements)
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“…It is based on inertia matrices [4,11], transformation matrices [1,3,14,17,20], centres of mass position vectors [2,16] and model masses. All of these parameters are taken from the SolidWorks CAD model.…”
Section: Th Daaam International Symposium On Intelligent Manufacturmentioning
confidence: 99%
See 3 more Smart Citations
“…It is based on inertia matrices [4,11], transformation matrices [1,3,14,17,20], centres of mass position vectors [2,16] and model masses. All of these parameters are taken from the SolidWorks CAD model.…”
Section: Th Daaam International Symposium On Intelligent Manufacturmentioning
confidence: 99%
“…It includes all dimensions, joins and material properties of the CAD model. It is the most accurate model that includes all important shapes (inertia matrices) and mass details for dynamic simulation purposes [16,17].…”
Section: Th Daaam International Symposium On Intelligent Manufacturmentioning
confidence: 99%
See 2 more Smart Citations
“…This paper shows the advantages of the combination of MATLAB and SolidWorks, being the latest able to ease the modeling process [4]. In [23] SolidWorks and MATLAB/Simulink were used to confirm the theory and motion simulation regarding the comparison of robot positions using equal trajectory and time frame along with the establishment of a computer code for finding both kinematic and dynamic parameters.…”
Section: Introductionmentioning
confidence: 99%