The TAP (Tutoring Agenda Planner) project studies the feasibility of implementing the inquiry teaching method of Collins & Stevens [4] as an ITS shell. Inquiry teaching is a case- as well as dialogue-based teachin...
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In this paper, we present an approach to robotic assembly task scheduling which yields suboptimal solutions. The robotic assembly system involves two robot arms working in the same workspace. Collision avoidance betwe...
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In this paper, we present an approach to robotic assembly task scheduling which yields suboptimal solutions. The robotic assembly system involves two robot arms working in the same workspace. Collision avoidance between the two robot arms is guaranteed by the use of the uniform cell decomposition approach. Timed Petri nets are used to model the assembly activities. The execution times of the assembly activities are determined during the generation of the reachability graph. Several approaches used to generate the reachability graph and determine the minimum-time paths are proposed.
In this paper, we present an approach to robotic assembly task scheduling which yields suboptimal solutions. The robotic assembly system involves two robot arms working in the same workspace. The collision free operat...
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In this paper, we present an approach to robotic assembly task scheduling which yields suboptimal solutions. The robotic assembly system involves two robot arms working in the same workspace. The collision free operation of the two robot arms is guaranteed by the use of the uniform cell decomposition approach. Timed Petri nets are used to model the assembly activities. The execution times of the assembly activities are determined during the generation of the reachability graph. Several approaches used to generate the reachability graph and determine the minimum-time paths are proposed.
In this paper, we present an approach to assembly task scheduling involving two robot arms performing concurrently assembly operation in a common workspace. The focus of the material reported in the paper is on an app...
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In this paper, we present an approach to assembly task scheduling involving two robot arms performing concurrently assembly operation in a common workspace. The focus of the material reported in the paper is on an approach which results in sub-optimal sequences, based on combination of breadth-first search method and heuristic functions.
Considering recent developments in the fundamentals, analysis, and application areas of the intelligent Control systems (ICS), it is the intent of this panel to review the state-of-the-art in ICS and present a summary...
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Considering recent developments in the fundamentals, analysis, and application areas of the intelligent Control systems (ICS), it is the intent of this panel to review the state-of-the-art in ICS and present a summary of research activities being carried out at different institutions and organizations. Results of some specific research projects that will be discussed at the session are summarized in this paper.
An object-oriented modular approach to the engineering of complex robotic systems emphasizes reliability, reusability, ease of development, and user and network interfaces. This modular approach integrates many archit...
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An object-oriented modular approach to the engineering of complex robotic systems emphasizes reliability, reusability, ease of development, and user and network interfaces. This modular approach integrates many architectural principles and computational techniques which support adaptive and learning capability at the local, modular level. The TETROBOT is a modular and reconfigurable robotic system which was developed to demonstrate the reliable performance in a wide variety of task domains through reconfiguration of the same fundamental hardware and software components. Such a modular approach emphasizes the synthesis and integration of engineering modules and takes advantage of object-oriented engineering principles to design for a family of tasks. This paper provides an overview of the TETROBOT modular system and describes three modular systems in other applications domains.
This paper presents a new visual motion cue, we call the Visual Threat Cue (VTC) that provides some measure for a relative change in range as well as clearance between a 3D surface and a fixing observer in motion. The...
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This paper presents a new visual motion cue, we call the Visual Threat Cue (VTC) that provides some measure for a relative change in range as well as clearance between a 3D surface and a fixing observer in motion. The VTC corresponds to visual fields surrounding a moving observer. The fields are time-based imaginary 3-D surfaces that move with the observer. They are analogous to equi-potential fields of an electric dipole. A practical method to extract the VTC is presented. The approach is independent of the 3D surface texture and needs no optical flow information, 3D reconstruction, segmentation, feature tracking or pre-processing. This algorithm to extract the VTC was applied to several indoor as well as outdoor real images of textures, where we observed a similar behavior for most of the textures employed.
This paper proposes a new kind of on-line identification method of continuous time-delay systems from sampled input-output data. In order to track the time-varying system parameters as well as time-delay, the recursiv...
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This paper proposes a new kind of on-line identification method of continuous time-delay systems from sampled input-output data. In order to track the time-varying system parameters as well as time-delay, the recursive linear least squares (RLS) method is combined in a bootstrap manner with the genetic algorithm (GA) which has a high potential for global optimization. The time-delay is coded into binary bit strings and searched by the GA, while the system parameters are updated by the RLS method. Furthermore, this method (GALS method) is hybridized with the sequential nonlinear least squares method to improve the speed of convergence. Simulation results show that both the GALS and hybrid methods are efficient in the case that the system changes abruptly, and among them the hybrid method has superior convergence property to the GALs method and yields excellent estimation results in the case that the system changes with time continuously.
A nonlinear 5 layer artificial neural autoencoder network for image data compression is constructed and trained using the back propagation algorithm and medical CT images. The influence of linear and nonlinear pre/pos...
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A nonlinear 5 layer artificial neural autoencoder network for image data compression is constructed and trained using the back propagation algorithm and medical CT images. The influence of linear and nonlinear pre/postprocessing operations is studied as well as an alternative compression scheme. Important implementational issues of neural networks are addressed as well as autoencoder issues. One of the results of this work is a compression/decompression tool that provides maximum flexibility and can be used independently from the training environment.
This paper deals with vision-based fuzzy closed-loop control schemes for collision avoidance as well as maintenance of clearance in a-priori unknown textured environments. These control schemes employ a visual motion ...
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This paper deals with vision-based fuzzy closed-loop control schemes for collision avoidance as well as maintenance of clearance in a-priori unknown textured environments. These control schemes employ a visual motion cue, we call the visual threat cue (VTC) that provides some measure for a relative change in range as well as clearance between 3D surface and a fixated observer in motion. It is a collective measure obtained directly from the raw data of gray level images, is independent of the type of 3D surface texture. This motion cue is scale-independent, rotation independent, needs no 3D reconstruction and is measured in [time/sup -1/] units. Fuzzy control is closer in spirit to human thinking and can implement linguistically-expressed heuristic control policies directly without any knowledge about the dynamics of the complex process. The fuzzy controllers were implemented in real-time using a 486-based personal computer and a camera capable of undergoing 6-DOF motion. Results are highly encouraging.
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