In this work,we introduce a category of dynamic manipulation processes,namely passive dynamic object manipulation,according to which an object is manipulated ***,we study passive dynamic manipulation *** define the ma...
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In this work,we introduce a category of dynamic manipulation processes,namely passive dynamic object manipulation,according to which an object is manipulated ***,we study passive dynamic manipulation *** define the main concept,discuss the challenges,and talk about the future *** other passive robotic systems,there are no actuators in these *** object follows a path and travels along it under the effect of its own weight,as well as the interaction force applied by each manipulator on *** select some simple examples to show the *** each example,dynamic equations of motion are derived and the stability of the process is taken into *** this direction,some rules are derived under which we ensure that the manipulation process does not *** support this idea.
This paper gives aspects related to a cooperation scenario in the framework of multiagent systems. The presentation is focused on a trivial multiagent system that consists of two agents, the Master and the Apprentice....
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This paper gives aspects related to a cooperation scenario in the framework of multiagent systems. The presentation is focused on a trivial multiagent system that consists of two agents, the Master and the Apprentice. The theoretical basis of the cooperation scenario is the definition of the most probable process, and two algorithms are used with this regard. The formulation of the cooperation scenario is exemplified for a case study that builds an architecture of successively placed bricks in the workspace.
During drying processes, moisture control of food products, such as dried tea, is of great importance. Improving dryer control, results in consistent production and reduction of energy consumption. However, the dryer ...
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The paper proposes a new method to interactively simulate grasping of virtual product concepts with the goal to evaluate the contact forces between the hand and product as well as the load on the human arm. Interactio...
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Power transmissions are one of the most important parts of any mechanical system, and in order to achieve reliable operation robust and effective maintenance strategies must be used to trace the condition of the opera...
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Vibrations of electrostatically-Actuated microbeams are investigated. Effects of electrostatic actuation, axial stress and midplane stretching are considered in the model. Galerkin's decomposition method is utiliz...
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This paper considers the vision-based estimation and control with a panoramic camera via passivity approach. First, a hyperbolic projection of a panoramic camera is presented. Next, using standard body-attached coordi...
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In this work, we introduce a category of dynamic manipulation processes, namely passive dynamic object manipulation, according to which an object is manipulated passively. Specifically, we study passive dynamic manipu...
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In this work, we introduce a category of dynamic manipulation processes, namely passive dynamic object manipulation, according to which an object is manipulated passively. Specifically, we study passive dynamic manipulation here. We define the main concept, discuss the challenges, and talk about the future directions. Like other passive robotic systems, there are no actuators in these systems. The object follows a path and travels along it under the effect of its own weight, as well as the interaction force applied by each manipulator on it. We select some simple examples to show the concept. For each example, dynamic equations of motion are derived and the stability of the process is taken into account. In this direction, some rules are derived under which we ensure that the manipulation process does not fail. Simulations support this idea.
This paper presents the design and the implementation of two control solutions applied to a magnetic levitation system laboratory equipment. The first solution deals with a state feedback control structure to stabiliz...
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To have a complete model of a thunniform Fish-Robot, models of both body and tail are required. The dynamic model of the body is developed according to the parameters of a thunniform Fish-Robot built in MIT University...
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ISBN:
(纸本)9781424493197
To have a complete model of a thunniform Fish-Robot, models of both body and tail are required. The dynamic model of the body is developed according to the parameters of a thunniform Fish-Robot built in MIT University, while, as the main part of this paper, the dynamic model of the tail is developed using fuzzy logic. Using experimental data and table look-up scheme, a fuzzy black box is introduced that gives the value of thrust force generated for any value of the Fish-Robot's input parameters: frequency of tail oscillation, amplitude of tail oscillation and speed of the Fish-Robot. In the second part, a trajectory fuzzy controller is designed for the Fish-Robot. The output of trajectory controller is force but the desired parameters to actuate the tail are frequency and amplitude. Therefore subtractive clustering method is used on the results of previous fuzzy black box to generate a fuzzy inference system. This system generates operational values of frequency and amplitude of oscillation for any force required. Control goals are achieved by putting the three units in a closed loop system.
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