This paper presents the technical analysis of, and industrial robotics' potential opportunity in, the trim and final assembly area of the motor vehicle manufacturing industry. This work focused on providing a gene...
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This paper presents the technical analysis of, and industrial robotics' potential opportunity in, the trim and final assembly area of the motor vehicle manufacturing industry. This work focused on providing a gene...
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This paper presents the technical analysis of, and industrial robotics' potential opportunity in, the trim and final assembly area of the motor vehicle manufacturing industry. This work focused on providing a general knowledge of the trim and final assembly line sequence, and the processes and operations in each station at a detailed level. We then looked at what technologies could be used in the future to automate the existing manual operations and described those here. Such technologies may include robotic vision, force control guidance, or employing a robot as an intelligent assist device. We also surveyed and identified the opportunities and the future research trends in this industry segment.
This paper is based on sensor network theory aim to localize the mobile sensor node. Our mobile sensor node is used to apply ubiquitous service in indoor environment. Therefore the localization and path planning for m...
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This paper is based on sensor network theory aim to localize the mobile sensor node. Our mobile sensor node is used to apply ubiquitous service in indoor environment. Therefore the localization and path planning for m...
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This paper is based on sensor network theory aim to localize the mobile sensor node. Our mobile sensor node is used to apply ubiquitous service in indoor environment. Therefore the localization and path planning for mobile sensor node is an essential factor. Path planning technology plays an important role in mobile sensor node. The mobile sensor node must successfully find a collision free path to reach from start point to goal point. And this path is the minimum distance. We propose a method to solve path planning problem which the model of non-vertexes (circle) obstacles is constructed to two-dimension map. Indoor localization technology which we developed is RSS (Received Signal Strength) in this paper. We use wireless LAN medium (Zigbee) to implement. RSS data can be transformed to distance by path lost function. Due to the radio frequency is significantly affected by diffraction, reflections, scattering and multi-path. In order to reduce the measurement error of RSS value we utilize Kalman filter theory. Besides, scale invariant feature transform (SIFT) has been implement on the robot to identify object with camera.
A challenge for automating mechanical assembly is that cumulative uncertainties typically exceed part clearances, which makes conventional position-based tactics unsuccessful. Force-based assembly strategies offer a p...
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A challenge for automating mechanical assembly is that cumulative uncertainties typically exceed part clearances, which makes conventional position-based tactics unsuccessful. Force-based assembly strategies offer a potential solution, although such methods are still poorly understood and can be difficult to program. In this paper, we describe a force-based robotic assembly approach that uses fixed strategies with tunable parameters. A generic assembly strategy suitable for execution on an industrial robot is selected by the programmer. Parameters are then self-tuned empirically by the robot using a genetic-algorithm learning process that seeks to minimize assembly time subject to contact-force limits. Results are presented for two automotive part assembly examples using ABB robots with commercial force-control software, showing that the approach is highly effective and suitable for industrial use.
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