Showing posts with label theory of computing. Show all posts
Showing posts with label theory of computing. Show all posts

3/25/2012

Robotics: Modelling, Planning and Control (Advanced Textbooks in Control and Signal Processing) Review

Robotics: Modelling, Planning and Control (Advanced Textbooks in Control and Signal Processing)
Average Reviews:

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This book has everything a new grad student or aspiring roboticist would want. It covers the mechanics, the controls and even some vision for robotic manipulators. Very nice resource.

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Based on the successful Modelling and Control of Robot Manipulators by Sciavicco and Siciliano (Springer, 2000), Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. It has been expanded to include coverage of mobile robots, visual control and motion planning. A variety of problems is raised throughout, and the proper tools to find engineering-oriented solutions are introduced and explained.The text includes coverage of fundamental topics like kinematics, and trajectory planning and related technological aspects including actuators and sensors.To impart practical skill, examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, end-of-chapter exercises are proposed, and the book is accompanied by an electronic solutions manual containing the MATLAB code for computer problems; this is available free of charge to those adopting this volume as a textbook for courses.

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9/25/2011

Autonomous Robots: Modeling, Path Planning, and Control Review

Autonomous Robots: Modeling, Path Planning, and Control
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Fahimi's book can be considered a specialisation of the recent Springer Springer Handbook of Robotics. The current book explains the control systems theory behind having a robot operate independently. The kinematics can be quite involved, and you should already have a good background in matrix algebra.
Important special cases treated include have multiple mobile robots and planning their interdependent paths. These are in the presence of various potential energy functions. In some scenarios the paths are on a two dimensional surface, like land or at sea level. While in others, the paths are fully three dimensional, as for flying robots or those under the sea.
The concept of an autopilot for maintaining constant velocity on a surface is seen as an important but fundamentally simple situation.
Each chapter ends with a short set of problems; making the text suitable for a university course.

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It is at least two decades since the conventional robotic manipulators have become a common manufacturing tool for different industries, from automotive to pharmaceutical. The proven benefits of utilizing robotic manipulators for manufacturing in different industries motivated scientists and researchers to try to extend the applications of robots to many other areas by inventing several new types of robots other than conventional manipulators. The new types of robots can be categorized in two groups; redundant (and hyper-redundant) manipulators, and mobile (ground, marine, and aerial) robots. These groups of robots, known as advanced robots, have more freedom for their mobility, which allows them to do tasks that the conventional manipulators cannot do.Engineers have taken advantage of the extra mobility of the advanced robots to make them work in constrained environments, ranging from limited joint motions for redundant (or hyper-redundant) manipulators to obstacles in the way of mobile (ground, marine, and aerial) robots.Since these constraints usually depend on the work environment, they are variable. Engineers have had to invent methods to allow the robots todeal with a variety of constraints automatically. A robot that is equipped with those methods is called an Autonomous Robot.Autonomous Robots: Kinematics, Path Planning, and Control covers the kinematics and dynamic modeling/analysis of Autonomous Robots, as well as the methods suitable for their control. The text is suitable for mechanical and electrical engineers who want to familiarize themselves with methods of modeling/analysis/control that have been proven efficient through research.

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