Redundant Manipulators.- Hyper-Redundant Manipulators.- Obstacle Avoidance Using Harmonic Potential Functions.- Control of Manipulators.- Mobile Robots.- Autonomous Surface Vessels.- Autonomous Helicopters.
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.
Discusses the application of Advanced Robots (redundant and hyper-redundant manipulators, and ground, marine, and aerial robots) with examples such as robotic helicopters for surveillance, aerial photography, farm spraying, high-end cars that park themselves, and robotic vacuum cleaners
Presents the theoretical tools for analyzing the dynamics of and controlling Autonomous Robots in a form comprehensible for students and engineers
Provides a complete overview of control methods including but not limited to PID control, feedback linearization and sliding mode control
Contents are unique and present material never gathered within one book and never presented in a form useful to students and engineers
Presents comprehensive examples addressing the modeling and control of Autonomous Robots, and several exercise problems and term projects.