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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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PLC-based fuzzy control system for a robotic manipulator

TL;DR: The submitted monograph deals with the design of robotic arm fuzzy control and its implementation in the PLC-based control system and the achieved results are analyzed.
Proceedings ArticleDOI

RMP2: A Structured Composable Policy Class for Robot Learning

TL;DR: The message passing algorithm of RMPflow is reexamine and a more efficient alternate algorithm is proposed, called RMP, that uses modern automatic differentiation tools (such as TensorFlow and PyTorch) to compute R MPflow policies.
Journal ArticleDOI

Global Convergence of a Decentralized Adaptive Fuzzy Control for the Motion of Robot Manipulators: Application to the Mitsubishi PA10-7CE as a Case of Study

TL;DR: A control algorithm that uses adaptive fuzzy systems to approximate local portions of the robot manipulator dynamics is proposed in order to solve the trajectory tracking problem, and a functional analysis proves for the first time that a decentralized adaptive fuzzy controller satisfies the motion control objective.
Journal ArticleDOI

Telemanipulation of cooperative robots: a case of study

TL;DR: This article addresses the problem of dexterous robotic grasping by means of a telemanipulation system composed of a single master and two slave robot manipulators with a centralised adaptive position-force control algorithm for the slave robots.
Journal ArticleDOI

Conceptual design and virtual prototyping of a wearable upper limb exoskeleton for assisted operations

TL;DR: In this article, an upper limb robotic exoskeleton designed to assist industrial operators in a wide range of manual repetitive tasks, such as tool handling and lifting/moving of heavy items, is presented.