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Autonomous Robots: Modeling, Path Planning, and Control, by Farbod Fahimi
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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 to�deal 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.
- Sales Rank: #3300719 in Books
- Published on: 2008-12-04
- Original language: English
- Number of items: 1
- Dimensions: 9.21" h x .81" w x 6.14" l, 1.40 pounds
- Binding: Hardcover
- 340 pages
From the Back Cover
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 new generation of robots are now being developed that 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 robots 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.
Autonomous Robots: Modeling, Path Planning, and Control covers the kinematics and dynamic modeling/analysis of Autonomous Robots, as well as the methods suitable for their control. Drawing upon years of experience and using numerous examples and illustrations, Farbod Fahimi discusses:
- The application of autonomous robots including but not limited to redundant and hyper-redundant manipulators, and ground, marine, and aerial robots.
- Position and velocity kinematics of redundant and hyper-redundant manipulators.
- Obstacle avoidance in 2D and 3D workspace using the potential field method.
- Kinematic and dynamic models of autonomous robots.
- Control methods such as PID, feedback linearization, sliding modes as applied to autonomous robots.
Autonomous Robots: Modeling , Path Planning, and Control 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. This book presents the theoretical tools for analyzing the dynamics of and controlling Autonomous Robots in a form comprehensible for students and engineers.
Most helpful customer reviews
1 of 2 people found the following review helpful.
controlling mobile robots
By W Boudville
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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