IASTED Technology Conferences / 696:MS / 697:CA / 698: WC / 699: EME / 700: SOE 2010
DOI: 10.2316/p.2010.696-111
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Modelling of Robotized Site and Simulation of Robot's Optimum Placement and Orientation Zone

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Cited by 7 publications
(11 citation statements)
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“…The comparison shows that the results of super twisting (second order) is far better than the first order SMC in terms of each parameter under study. Table II also illustrates the Integral Time-weighted Absolute Error (ITAE) integrates the absolute error multiplied by time over time, Integral Absolute Error (IAE) integrates the absolute error over time and Integral Squared Error (ISE) which integrates the square of the error over time as shown in (15)(16)(17) respectively. All these parameters show that their value for second order is much less than the first order.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…The comparison shows that the results of super twisting (second order) is far better than the first order SMC in terms of each parameter under study. Table II also illustrates the Integral Time-weighted Absolute Error (ITAE) integrates the absolute error multiplied by time over time, Integral Absolute Error (IAE) integrates the absolute error over time and Integral Squared Error (ISE) which integrates the square of the error over time as shown in (15)(16)(17) respectively. All these parameters show that their value for second order is much less than the first order.…”
Section: Resultsmentioning
confidence: 99%
“…have increased the applications of robotics to an incredible extent [8]. Currently, robots are becoming an essential part in various sectors like medical [9], haptics [10,11], nuclear power plants [12], space [13][14][15], automation [16,17] and industries [18] in addition to other applications involving under-water [19], target tracking [20,21] and tether [22]. In medical domain, technology finds enormous potential in rehabilitation [23], motion assistance [24,25], anesthesia administration [26] and for patients' mobility [27].…”
Section: Introductionmentioning
confidence: 99%
“…Minimum seeking algorithms, designed to search the cost surface to minimize the height, can be based on exhaustive search, analytical optimization, Nedler-Mead downhill simplex method or line minimization. Genetic algorithms [32] work on the basis of genetics and natural selection and are well suited for parallel computers with an ability to optimize large number of continuous or discrete variables. Spline-based algorithms randomly select a sequence of points along the original path followed by construction of spline (e.g.…”
Section: Trajectory Planning Of Industrial Manipulatorsmentioning
confidence: 99%
“…The derived Inverse Kinematic model of the robot then gives the required position and orientation so as to pick/place the desired object(s). [12] A graphical simulation of industrial robotized sites using SolidWorks TM Application Programming Interface (API) is presented in [32]. The proposed strategy is primarily based on the developed 3D model of the site and time optimization guaranteeing collision avoidance and accessibility [33].…”
Section: Introductionmentioning
confidence: 99%
“…Indeed, the traveling tour has to be performed in coordinate space rather than operational space with higher dimensionality (6 instead of 2 for the TSP planar case). Furthermore, many other factors can affect the task achievement and the cycle time such as the robot manipulator placement and orientation [11].…”
Section: Introduction (Heading 1)mentioning
confidence: 99%