<p><b>Create end-to-end systems that can power robots with artificial vision and deep learning techniques</b></p> <h4>Key Features</h4> <ul><li>Study ROS, the main development framework for robotics, in detail </li> <li>Learn all about convolutional neural networks, recurrent neural networks, and ro
Artificial Vision for Robots
β Scribed by I. Aleksander (auth.), Professor I. Aleksander (eds.)
- Publisher
- Springer US
- Year
- 1983
- Tongue
- English
- Leaves
- 228
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
I. ALEKSANDER Department of Electrical Engineering and Electronics BruneI University, England The three key words that appear in the title of this book need some clarification. First, how far does the word robot reach in the context of indusΒ trial automation? There is an argument maintaining that this range is not fixed, but increases with advancing technology. The most limited definition of the robot is also the earliest. The history is worth following because it provides a convincing backdrop to the central point of this book: vision is likely to epitomize the technoloΒ gical advance, having the greatest effect in enlarging the definition and range of activity of robots. In the mid 1950s it was foreseen that a purely mechanical arm-like device could be used to move objects between two fixed locations. This was seen to be cost-effective only if the task was to remain fixed for some time. The need to change tasks and therefore the level of programmability of the robot was a key issue in the broadening of robot activities. Robots installed in industry in the early 1960s derived their programmability from a device called apinboard. VerΒ tical wires were energized sequentially in time, while horizontal wires, when energized, would trigger off elementary actions in the manipulator arm. The task of reprogramming was a huge one, as pins had to be reinserted in the board, connecting steps in time with robot actions.
β¦ Table of Contents
Front Matter....Pages 1-7
Introduction....Pages 9-21
Front Matter....Pages 23-23
Software or Hardware for Robot Vision?....Pages 25-42
Comparison of Five Methods for the Recognition of Industrial Parts....Pages 43-57
Syntactic Techniques in Scene Analysis....Pages 58-74
Front Matter....Pages 75-75
Recognition of Overlapping Workpieces by Model-Directed Construction of Object Contours....Pages 77-92
Simple Assembly Under Visual Control....Pages 93-113
Visually Interactive Gripping of Engineering Parts from Random Orientation....Pages 114-146
An Interface Circuit for a Linear Photodiode Array Camera....Pages 147-152
Front Matter....Pages 153-153
Networks of Memory Elements: A Processor for Industrial Automation....Pages 155-178
Computer Vision Systems for Industry: Comparisons....Pages 179-196
Memory Networks for Practical Vision Systems: Design Calculations....Pages 197-214
Emergent Intelligence from Adaptive Processing Systems....Pages 215-233
β¦ Subjects
Science, general
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