Automated terrain classification for electric powered wheelchairs (EPWs) has two primary motivations. First, certain terrains (e.g., sand and gravel) make wheelchair mobility more difficult. To alleviate this problem ...
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(纸本)9780889867406
Automated terrain classification for electric powered wheelchairs (EPWs) has two primary motivations. First, certain terrains (e.g., sand and gravel) make wheelchair mobility more difficult. To alleviate this problem the wheelchair control system can be manually tuned for maximum speeds and/or accelerations to help adapt to various terrains. Terrain classification can then be used to automate the switch from one control mode to another. Second, terrain classification can help yield a better understanding of the surfaces traversed by various groups of wheelchair users. This can provide the data needed to develop wheelchairs geared to specific groups of users. This paper presents an algorithm for vibration-based terrain classification on EPWs. This algorithm has been shown to be highly accurate in offline analysis of experimental data. Future work will stress online implementation and algorithm improvements.
Basic processes for nanorobotic manipulation of carbon nanotubes (CNTs) inside a transmission electron microscope are investigated experimentally. These processes are fundamental for the characterization of nanoscale ...
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A technique for the calibration of an active camera system is presented. The calibration of manipulator, camera-to-manipulator, camera, and base-to-world is treated in a unified and elegant way. In this approach, the ...
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Various training-based spatial filtering methods have been proposed to classify steady-state visual evoked potential (SSVEP)-based brain-computer interfaces (BCIs). However, many overlook the temporal instability of S...
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Since form-closure grasps are a strong condition for stability, they are very useful for applications. Whether form closure can be obtained depends on the design of the end-effector and the geometry of the grasped obj...
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Since form-closure grasps are a strong condition for stability, they are very useful for applications. Whether form closure can be obtained depends on the design of the end-effector and the geometry of the grasped object. Previously, we proposed a new type of grasping mechanism using closed kinematic chains that can provide form-closure grasps for nearly any geometry of the object. An important design issue is the determination of the link lengths of the closed chain. This paper considers the design with respect to grasp stability. A criterion for evaluating grasp stability is proposed. The link lengths corresponding to an optimal value of the criterion is utilized to obtain a solution for dimensional synthesis. Because the criterion is a nonlinear function of the link lengths, the optimization cannot be obtained by simple computation. To avoid the computational burden in finding the optimal link lengths, we develop a graphical method for determining the link lengths. The grasping of cylindrical objects demonstrates the method.
The work reported in this paper is motivated by the need for developing swarm pattern transformation methodologies. Two methods, namely a macroscopic method and a mathematical method are investigated for pattern trans...
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The work reported in this paper is motivated by the need for developing swarm pattern transformation methodologies. Two methods, namely a macroscopic method and a mathematical method are investigated for pattern transformation. The first method is based on macroscopic parameters while the second method is based on both microscopic and macroscopic parameters. A formal definition to pattern transformation considering four special cases of transformation is presented. Simulations on a physics simulation engine are used to confirm the feasibility of the proposed transformation methods. A brief comparison between the two methods is also presented.
The paper treats a fuzzy-neural tuned genetic algorithm for solving a constraint satisfaction problem for an industrial application. It describes the design of a reflecting lamp composed of five consecutive straight m...
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The paper treats a fuzzy-neural tuned genetic algorithm for solving a constraint satisfaction problem for an industrial application. It describes the design of a reflecting lamp composed of five consecutive straight mirror segments that satisfy both illumination efficiency and uniformity properties. An analytically established neural network dynamically controls the genetic algorithm mutation rate and the convergence criteria. The neural network implements a six-rule fuzzy system that gains its knowledge from a human operator and works in a similar way to monitor the convergence process. Using numerical experiments the lamp configurations are determined. The proposed method can also be applied to other optimization design tasks.
Hybrid position/force control is not always stable by adjusting the control parameters. There may be unstable regions if position and force control are exerted simultaneously because of an inappropriate kinematic coor...
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Hybrid position/force control is not always stable by adjusting the control parameters. There may be unstable regions if position and force control are exerted simultaneously because of an inappropriate kinematic coordinate transformation in the feedback path. To realize hybrid control for redundant manipulators, we analyze system stability and develop an improved hybrid control scheme that ensures kinematically stable operation.
Three degree of freedom planar mechanisms occur in nature and are fundamental to many robotic devices. This paper concerns the use of evaluation criteria, developed by the authors, to select the link lengths of 3 DOF ...
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Three degree of freedom planar mechanisms occur in nature and are fundamental to many robotic devices. This paper concerns the use of evaluation criteria, developed by the authors, to select the link lengths of 3 DOF planar manipulators and analyze their operational performance. The technique has wide application to the design of serial and parallel robots.
The determination of contact forces between a grasped object and fingers of a robot hand is treated in this research. In previous research on fingertip grasps, the underlying assumption is generally that the fingers c...
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The determination of contact forces between a grasped object and fingers of a robot hand is treated in this research. In previous research on fingertip grasps, the underlying assumption is generally that the fingers can apply any required force. In cases of enveloping or power grasps, the latter assumption does not always hold because same components of the contact forces may not be controllable. These uncontrollable forces need to be separated in the representation of contact forces to ensure that the contact forces are obtained by adjusting the controllable components of the contact forces. This paper provides a method to solve this problem. We decompose the space of contact forces into four subspaces. Based on this decomposition, the contact forces can be explicitly represented with respect to the joint torques. Therefore, the application of the technique leads to a controllable solution. Three examples are provided to illustrate the decomposition.
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