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Title: |
Robot Vision |
| Sub-title: |
New Research |
Search Result:
| Edited by: |
Taisho Matsuda |
| ISBN10-13: |
1604569840 : 9781604569841 |
| Illustrations: |
photos, tables & charts |
| Format: |
Hardback |
| Size: |
180x260mm |
| Pages: |
354 |
| Weight: |
.770 Kg. |
| Published: |
Nova Science Publishers, Inc (US) - December 2009 |
| List Price: |
181.99 Pounds Sterling |
| Availability: |
In Stock
Qty Available: 1 |
| Subjects: |
Robotics |
| The field of robot vision guidance is developing rapidly. The benefits of sophisticated vision technology include savings, improved quality, reliability, safety and productivity. Robot vision is used for part identification and navigation. Vision applications generally deal with finding a part and orienting it for robotic handling or inspection before an application is performed. Sometimes vision guided robots can replace multiple mechanical tools with a single robot station. A combination of vision algorithms, calibration, temperature software, and cameras provide the vision ability. Calibration of robot vision system is very application dependent. They can range from a simple guidance application to a more complex application that uses data from multiple sensors. Algorithms are consistently improving, allowing for sophisticated detection. Many robots are now available with collision detection, allowing them to work alongside other robots without the fear of a major collision. They simply stop moving momentarily if they detect another object in their motion path. This book presents the latest research in the field from around the world. |
| Table of Contents: |
| Preface; Short Communication; Application of A Novel 3D PMD-Camera to Monitor the Workspace of an Industrial Robot; Research and Review Studies Vision-Only Mobile Robot Navigation with Topological Maps; Revised Diatom Biostratigraphy of DSDP Leg 19 Drill Cores and Dredged Samples from the Subarctic Pacific and Bering Sea; A Real-Time Vehicle Detection and Tracking System in Outdoor Traffic Scenes; Robot Vision for Intelligent Autonomous Vehicles; Real-Time People Tracking and Following using a Visual Controlled Mobile Robot; Simultaneous People Tracking and Recognition for Interactive Service Robots; Real Time Panoramic Depth Imaging from Multiperspective Panoramas Using Standard Cameras; Future Developments in Robotic Surgery: An Outside-the-Box Look into the Next Ten Years; Robot Vision for Science-Driven Navigation in Challenging Arctic Environments; On the Fusion of Multi-Sensor Images: The Multiresolution Approaches; The Multilayer In-Place Learning Network for Modeling Functional Layers in the Laminar Cortex, Developing General Invariances, and Multi-Task Learning; Index. |
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