Finding your suitable robotics vision and control is not easy. You may need consider between hundred or thousand products from many store. In this article, we make a short list of the best robotics vision and control including detail information and customer reviews. Let’s find out which is your favorite one.
Best robotics vision and control
1. Robotics, Vision and Control: Fundamental Algorithms In MATLAB, Second Edition (Springer Tracts in Advanced Robotics)
Description
Robotic vision, the combination of robotics and computer vision, involves the application of computer algorithms to data acquired from sensors. The research community has developed a large body of such algorithms but for a newcomer to the field this can be quite daunting. For over 20 years the author has maintained two open-source MATLAB Toolboxes, one for robotics and one for vision. They provide implementations of many important algorithms and allow users to work with real problems, not just trivial examples. This book makes the fundamental algorithms of robotics, vision and control accessible to all. It weaves together theory, algorithms and examples in a narrative that covers robotics and computer vision separately and together. Using the latest versions of the Toolboxes the author shows how complex problems can be decomposed and solved using just a few simple lines of code. The topics covered are guided by real problems observed by the author over many years as a practitioner of both robotics and computer vision. It is written in an accessible but informative style, easy to read and absorb, and includes over 1000 MATLAB and Simulink examples and over 400 figures. The book is a real walk through the fundamentals of mobile robots, arm robots. then camera models, image processing, feature extraction and multi-view geometry and finally bringing it all together with an extensive discussion of visual servo systems. This second edition is completely revised, updated and extended with coverage of Lie groups, matrix exponentials and twists; inertial navigation; differential drive robots; lattice planners; pose-graph SLAM and map making; restructured material on arm-robot kinematics and dynamics; series-elastic actuators and operational-space control; Lab color spaces; light field cameras; structured light, bundle adjustment and visual odometry; and photometric visual servoing.
An authoritative book, reaching across fields, thoughtfully conceived and brilliantly accomplished!
OUSSAMA KHATIB, Stanford
2. Robotics, Vision and Control: Fundamental Algorithms in MATLAB (Springer Tracts in Advanced Robotics)
Feature
Used Book in Good ConditionDescription
The author has maintained two open-source MATLAB Toolboxes for more than 10 years: one forrobotics and one for vision. The key strength of the Toolboxes provide a set of tools that allow the user to work with real problems, not trivial examples. For the student the book makes the algorithms accessible, the Toolbox code can be read to gain understanding, and the examples illustrate how it can be used instant gratification in just a couple of lines of MATLAB code. The code can also be the starting point for new work, for researchers or students, by writing programs based on Toolbox functions, or modifying the Toolbox code itself.
The purpose of this book is to expand on the tutorial material provided with the toolboxes, add many more examples, and to weave this into a narrative that covers robotics and computer vision separately and together. The author shows how complex problems can be decomposed and solved using just a few simple lines of code, and hopefully to inspire up and coming researchers. The topics covered are guided by the real problems observed over many years as a practitioner of both robotics and computer vision. It is written in a light but informative style, it is easy to read and absorb, and includes a lot of Matlab examples and figures. The book is a real walk through the fundamentals of robot kinematics, dynamics and joint level control, then camera models, image processing, feature extraction and epipolar geometry, and bring it all together in avisual servo system.
Additional material is provided athttp://www.petercorke.com/RVC
3. Robotics: DISCOVER THE SCIENCE AND TECHNOLOGY OF THE FUTURE with 20 PROJECTS (Build It Yourself)
Description
Named to the 2012 Chicago Public Library's "Best of the Best" Reading List for Informational Books for Older Readers, Robotics: Discover the Science and Technology of the Future is a fun and educational introduction to the exciting field of designing, building, and operating robots. Along with background material and clear explanations of how robots work, Robotics features step-by-step instructions for building real robot models using ordinary craft materials and parts salvaged from recycled toys and other household devices.Budding roboticists will learn how to create working robot hands, hydraulic arms, sensors, solar-powered robots, light-seeking robots and more. A great way to get kids interested in STEM subjects (science, technology, engineering, and math), the activities encourage kids to use all their talents to come up with creative solutions to tricky problems and figure out how things work.
4. Robotics: Control, Sensing, Vision, and Intelligence
Description
19875. Robotics: Everything You Need to Know About Robotics from Beginner to Expert
Description
Explore the Fascinating World of Robotics! Do you love robots? Are you fascinated with modern advances in technology? Do you want to know how robots work? If so, youll be delighted with Robotics: Everything You Need to Know About Robotics from Beginner to Expert. Youll learn the history of robotics, learn the 3 Rules, and meet the very first robots. This book also describes the many essential hardware components of todays robots: - Analog and Digital brains - DC, Servo, and Stepper Motors - Bump Sensors and Light Sensors - and even Robotic Bodywork Would you like to build and program your own robot? You can use Robotics: Everything You Need to Know About Robotics from Beginner to Expert to learn the software basics of RoboCORE and how to create brains for creations like the Obstacle Avoiding Robot. Youll also learn which materials to use to build your robot body and which sensors you need to help your new friend perceive the world around it. This book even explains how you can construct an Autonomous Wall Climbing Robot! Dont delay Start Reading Robotics: Everything You Need to Know About Robotics from Beginner to Expert right away! Youll be so glad you gained this exciting and powerful knowledge!6. Quad Rotorcraft Control: Vision-Based Hovering and Navigation (Advances in Industrial Control)
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Used Book in Good ConditionDescription
Quad Rotorcraft Control develops original control methods for the navigation and hovering flight of an autonomous mini-quad-rotor robotic helicopter. These methods use an imaging system and a combination of inertial and altitude sensors to localize and guide the movement of the unmanned aerial vehicle relative to its immediate environment.The history, classification and applications of UAVs are introduced, followed by a description of modelling techniques for quad-rotors and the experimental platform itself. A control strategy for the improvement of attitude stabilization in quad-rotors is then proposed and tested in real-time experiments. The strategy, based on the use low-cost components and with experimentally-established robustness, avoids drift in the UAVs angular position by the addition of an internal control loop to each electronic speed controller ensuring that, during hovering flight, all four motors turn at almost the same speed. The quad-rotors Euler angles being very close to the origin, other sensors like GPS or image-sensing equipment can be incorporated to perform autonomous positioning or trajectory-tracking tasks.
Two vision-based strategies, each designed to deal with a specific kind of mission, are introduced and separately tested. The first stabilizes the quad-rotor over a landing pad on the ground; it extracts the 3-dimensional position using homography estimation and derives translational velocity by optical flow calculation. The second combines colour-extraction and line-detection algorithms to control the quad-rotors 3-dimensional position and achieves forward velocity regulation during a road-following task.
In order to estimate the translational-dynamical characteristics of the quad-rotor (relative position and translational velocity) as they evolve within a building or other unstructured, GPS-deprived environment, imaging, inertial and altitude sensors are combined in a state observer.
The text give the reader a current view of the problems encountered in UAV control, specifically those relating to quad-rotor flying machines and it will interest researchers and graduate students working in that field. The vision-based control strategies presented help the reader to a better understanding of how an imaging system can be used to obtain the information required for performance of the hovering and navigation tasks ubiquitous in rotored UAV operation.
7. Digital Image Processing using MATLAB: ZERO to HERO Practical Approach with Source Code (Handbook of Digital Image Processing using MATLAB)
Description
This book will help you learn all about digital image processing Importance, and necessity of image processing stems from application areas the first being the Improvement of data for individual interpretation and the second being that the Processing of a spectacle data for an machine perception. Digital image processing includes a assortment of applications such as remote sensing, image and information storage for transmission in acoustic imaging, medical imaging, business applications , Forensic sciences and industrial automation. Images are helpful in tracking of earth resources mapping, and forecast of urban populations, agricultural crops, climate forecasting, flooding and fire control. Space imaging applications include comprehension and analyzation of objects contained in images obtained from deep space-probe missions. There are also medical programs such as processing of X-Rays, Ultrasonic scanning, Electron micrographs, Magnetic Resonance Imaging, Nuclear Magnetic Resonance Imaging, etc.. In addition to the aforementioned applications, digital image processing is being used to solve a variety of issues. Even unrelated, these problems commonly require methods effective at improving information. The Image processing Procedures like restoration and Image enhancement are used to procedure images that were degraded or blurred. Powerful uses of image processing concepts are observed in defense astronomy, biology, medical and industrial applications. As per Medical Imaging is concerned almost all of the pictures could be utilized in the discovery of tumors or for viewing the patients. The current key field of use of digital image processing (DIP) methods is in solving the issue of machine vision so as to attain superior results.
CONTENTS OF THIS BOOK:
Chapter 1: Basic Morphological Operation with MATLAB Source Code
Chapter 2: Image Segmentation with MATLAB Source Code
Chapter 3: Image intensity transformation with MATLAB Source Code
Chapter 4: Histogram Equalization with MATLAB Source Code
Chapter 5: Spatial Intensity Resolution with MATLAB Source Code
Chapter 6: Image Enhancement in Frequency Filtering with MATLAB Source Code
Chapter 7: Image Enhancement in Spatial Filtering with MATLAB Source Code
Chapter 8: Color Image Processing with MATLAB Source Code
Chapter 9: DFT Analysis with MATLAB Source Code
Chapter 10: Basic Thresholding Function with MATLAB Source Code
Chapter 11: Image Sampling and Quantization with MATLAB Source Code
Chapter 12: Various Image Transformation with MATLAB Source Code
8. Autonomous Intelligent Vehicles: Theory, Algorithms, and Implementation (Advances in Computer Vision and Pattern Recognition)
Description
This important text/reference presents state-of-the-art research on intelligent vehicles, covering not only topics of object/obstacle detection and recognition, but also aspects of vehicle motion control. With an emphasis on both high-level concepts, and practical detail, the text links theory, algorithms, and issues of hardware and software implementation in intelligent vehicle research. Topics and features: presents a thorough introduction to the development and latest progress in intelligent vehicle research, and proposes a basic framework; provides detection and tracking algorithms for structured and unstructured roads, as well as on-road vehicle detection and tracking algorithms using boosted Gabor features; discusses an approach for multiple sensor-based multiple-object tracking, in addition to an integrated DGPS/IMU positioning approach; examines a vehicle navigation approach using global views; introduces algorithms for lateral and longitudinal vehicle motion control.
9. Surgical Robotics: Systems Applications and Visions
