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Introduction to Modern Robotics (Paperback)
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Introduction to Modern Robotics (Paperback)
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Introduction to Modern Robotics provides a practical guide about
designing, building and programming a modern robotics system. It
presents a collection of wide range research results from the
robotics community. Chapter 1 presents the development of a
connected crawler robot for rough terrain. It specifically focuses
on the number of crawler stages should be connected. Chapter 2
shows the design and development process of a humanoid robotic
platform that combines power efficiency with flexible and robust
motion (such as balancing the need for human-like walking
capabilities) without complex computation. Chapter 3 proposes a
developmental model for the acquisition of motion in an infant
robot by using oscillators. Chapter 4 presents an innovative
concept of artificial communication partners with a multi-agent
mind model in order for realization of intuitive human-robot
interaction. Chapter 5 describes an approach for a robot to
self-recognize his/her image on a mirror, an important milestone
towards implementing theory of mind on a humanoid robot. Chapter 6
outlines relationships between robotics and software engineering,
motivates and illustrates the link between component based software
engineering and a service-oriented robotic component model. Chapter
7 explores both the management and the technical aspect of a modern
robotic team in the platform of a robot cup competition. Chapter 8
focuses on the methods for evolving a cooperative team for a
minimal soccer game by conducting a comparative evaluation of 18
methods, and shows that there are complex correlations among design
decisions. Chapter 9 introduces a new coordinative control system
for multi-robot system through network software platform. Chapter
10 studies Social Odometry, a new approach to multi-robot
localization based on local communication, which confers the robots
the possibility to learn from each other. Chapter 11 concerns with
the motion coordination of a multi-robot system over a planar
cluttered space. Chapter 12 introduces evolutionary-based design of
controllers for continuous-time processes, drives and robots.
Chapter 13 shows how GA can be used to solve the interception and
rendezvous problems without placing a restriction on the chasers
speed, which is contradictory to the line-of-sight approach where
the speed of the chaser must always be greater than the speed of
the target. Chapter 14 explores and extends the application of
simulation technique as a proactive risk management tool in
infrastructure planning, design and optimisation. Chapter 15
describes a system exploiting complementary data for mined area
reduction. It highlights the importance of adapted modeling and of
information fusion, and proposes efficient methods based on belief
function and fuzzy sets theories. Chapter 16 shows how the warning
signals generated using the AR approach reveal the same or better
effectiveness as standard visual signals coming from an industrial
signaling device that is of commonly used in machinery. Chapter 17
proposes to combine sensory information from infrared and sonar
sensors to improve obstacle-avoidance in a Khepera robot. This book
is suitable for advanced undergraduate students and postgraduate
students. It takes a practical approach rather than a conceptual
approach. It offers a truly reader-friendly way to get to the
subject related to the semantic web, making it the ideal resources
for any student who is new to this subject and providing a
definitive guide to anyone in this vibrant and evolving discipline.
This book is an invaluable companion for students from their first
encounter with the subject to more advanced studies, while the
full-color artworks are designed to present the key concepts with
simplicity, clarity and consistency.
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