Robot Modeling and Control Download

Author: Mark W. Spong
Edition: 1
Binding: Hardcover
ISBN: 0471649902

Robot Modeling and Control

"The coverage is unparalleled in both depth and breadth. Download Robot Modeling and Control from rapidshare, mediafire, 4shared. No other text that I have seen offers a better complete overview of modern robotic manipulation and robot control."
-- Bradley Bishop, United States Naval Academy

Based on the highly successful classic, Robot Dynamics and Control, by Spong and Vidyasagar (Wiley, 1989), Robot Modeling and Control offers a thoroughly up-to-date, self-contained introduction to the field. The text presents basic and advanced material in a style that is at once readable and mathematically rigorous.

Key Features
* A step-by-step computational approach helps you derive and compute the forward kinematics, inverse kinematics, and Jacobians for the most common robot designs.
* Detailed coverage Search and find a lot of engineering books in many category availabe for free download.

Download Robot Modeling and Control

Download Robot Modeling and Control engineering books for free. No other text that I have seen offers a better complete overview of modern robotic manipulation and robot control."
-- Bradley Bishop, United States Naval Academy

Based on the highly successful classic, Robot Dynamics and Control, by Spong and Vidyasagar (Wiley, 1989), Robot Modeling and Control offers a thoroughly up-to-date, self-contained introduction to the field. The text presents basic and advanced material in a style that is at once readable and mathematically rigorous.

Key Features
* A step-by-step computational approach helps you derive and compute the forward kinematics, inverse kinematics, and Jacobians for the most common robot designs o other text that I have seen offers a better complete overview of modern robotic manipulation and robot control."
-- Bradley Bishop, United States Naval Academy

Based on the highly successful classic, Robot Dynamics and Control, by Spong and Vidyasagar (Wiley, 1989), Robot Modeling and Control offers a thoroughly up-to-date, self-contained introduction to the field. The text presents basic and advanced material in a style that is at once readable and mathematically rigorous.

Key Features
* A step-by-step computational approach helps you derive and compute the forward kinematics, inverse kinematics, and Jacobians for the most common robot designs.
* Detailed coverage

Other engineering books

Principles of Robot Motion: Theory, Algorithms, and Implementations (Intelligent Robotics and Autonomous Agents series)

Robot motion planning has become a major focus of robotics. Research findings can be applied not only to robotics but to planning routes on circuit boards, directing digital actors in computer graphics, robot-assisted surgery and medicine, and in nov

Theory of Applied Robotics: Kinematics, Dynamics, and Control (2nd Edition)

Theory of Applied Robotics: Kinematics, Dynamics, and Control 2E is appropriate for courses in robotics that emphasize kinematics, dynamics, and control. The contents of this book are presented at a theoretical-practical level. It explains robotics c

Introduction to Autonomous Mobile Robots (Intelligent Robotics and Autonomous Agents series)

Mobile robots range from the Mars Pathfinder mission's teleoperated Sojourner to the cleaning robots in the Paris Metro. This text offers students and other interested readers an introduction to the fundamentals of mobile robotics, spanning the mecha

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

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 cov

Probabilistic Robotics (Intelligent Robotics and Autonomous Agents series)

Probabilistic robotics is a new and growing area in robotics, concerned with perception and control in the face of uncertainty. Building on the field of mathematical statistics, probabilistic robotics endows robots with a new level of robustness in r