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Robotics: Modelling, Planning and Control

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TLDR
Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control, suitable for use in senior undergraduate and graduate courses in automation and computer, electrical, electronic and mechanical engineering courses with strong robotics content.
Abstract
The classic text on robot manipulators now covers visual control, motion planning and mobile robots too! Robotics provides the basic know-how on the foundations of robotics: modelling, planning and control. The text develops around a core of consistent and rigorous formalism with fundamental and technological material giving rise naturally and with gradually increasing difficulty to more advanced considerations. The theory of manipulator structures presented in the early part of the book encompasses: the fundamentals: kinematics, statics and trajectory planning; and the technology of actuators, sensors and control units. Subsequently, more advanced instruction is given in: dynamics and motion control of robot manipulators; mobile robots; motion planning; and interaction with the environment using exteroceptive sensory data (force and vision). Appendices ensure that students will have access to a consistent level of background in basic areas such as rigid-body mechanics, feedback control, and others. Problems are raised and the proper tools established to find engineering-oriented solutions rather than to focus on abstruse theoretical methodology. To impart practical skill, more than 60 examples and case studies are carefully worked out and interwoven through the text, with frequent resort to simulation. In addition, nearly 150 end-of-chapter problems are proposed, and the book is accompanied by a solutions manual (downloadable from www.springer.com/978-1-84628-641-4) containing the MATLAB code for computer problems; this is available free of charge to those adopting Robotics as a textbook for courses. This text is suitable for use in senior undergraduate and graduate courses in automation and computer, electrical, electronic and mechanical engineering courses with strong robotics content.

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Proceedings ArticleDOI

Switching strategy for flexible task execution using the cooperative dual task-space framework

TL;DR: A flexible task execution criterion is proposed that enriches the Jacobian null space with additional degrees of freedom by relaxing control requirements upon specific geometric task objectives by satisfying a hysteresis-based switching strategy that ensures stability and convergence upon traditional and relaxed constraints.
Dissertation

Topics in Machining with Industrial Robot Manipulators and Optimal Motion Control

TL;DR: In this paper, a control architecture for online control of a robot manipulator in high-performance path tracking is developed, and the architecture is evaluated in extensive simulations, where the main characteristic of the control strategy is that it combines coordinated feedback control along both the tangential and transversal directions of the path; this separation is achieved in the framework of natural coordinates.
Journal ArticleDOI

A constraint-based programming approach for robotic assembly skills implementation

TL;DR: A constraint-based programming framework for the implementation of assembly skills for light-weight redundant robots, enabling a reactive generation of motion trajectories based on force control requirements is presented.
Journal ArticleDOI

A minimum state multibody/FEM approach for modeling flexible orbiting space systems

TL;DR: In this paper, the authors presented a mixed NE/EL formulation suitable for synthesizing optimal control strategies during the deploying maneuvers of robotic arms or solar arrays, which can be used to study the dynamic behavior of an orbiting manipulator with flexible appendages.
Journal ArticleDOI

Extension of D-H parameter method to hybrid manipulators used in robot-assisted surgery

TL;DR: The concept of dummy frames is proposed to resolve the orientational inconsistency and to develop the kinematic model of a hybrid manipulator, which is a combination of open- and closed-loop chains and contains planar and spatial links.