Robot Vision
Nova Science Publishers Inc (Verlag)
978-1-60692-091-6 (ISBN)
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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.
A Honeybee Inspired Heterogeneous Foraging Swarm Model; A Building Algorithm Based on Grid-Topological Map for Mobile Robot Navigation; Mobile Robot Navigation Strategies Oriented to Goal Achievement with Local Monocular Data; Latest Developments in Feature Based Mapping and Navigation for Indoor Service Robots; Robot Navigation Using Parameterized Growing Neural Gas that Learns Topologic Maps; Topological Knowledge Extraction Using Self-Organising Neural Networks; The SWAN, Submarine Wobble-Free Autonomous Navigator, Project: The Compensated Vectored-Thrust Patroller; Autonomous Robot Navigation Using Different Features and Hierarchical Discriminant Regression; Advances in Mapless and Map-Based Strategies for Robot Navigation; Dynamics, Motion Planning and Control of Wheel-Legged Robots for Superior Field Navigations; ARAS) Laboratory, Dept. of Mechanical Engineering, K.N. Toosi Univ. of Technology, Tehran, Iran); Artificial Neural Networks for Learning and Decision Making in Multi-Agent Robot Soccer Systems; Using Appearance-Based Techniques in Multi-Robot Route Following; Accurate Camera Calibration for 3D Data Acquisition: A Comparative Study; Probabilistic Behaviour Activation for Localisation; Real-time Map Building and Active Exploration for Autonomous Robot in Unknown Environments; Teleoperation of Mobile Robots via Internet: Guidelines of Design; Index.
| Erscheint lt. Verlag | 6.8.2009 |
|---|---|
| Zusatzinfo | Illustrations |
| Verlagsort | New York |
| Sprache | englisch |
| Maße | 260 x 180 mm |
| Gewicht | 1232 g |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 1-60692-091-X / 160692091X |
| ISBN-13 | 978-1-60692-091-6 / 9781606920916 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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