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Parallel PnP robots = dynamic control and motion planning /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Parallel PnP robots/ by Guanglei Wu.
Reminder of title:	dynamic control and motion planning /
Author:	Wu, Guanglei.
Published:	Singapore :Springer Nature Singapore : : 2025.,
Description:	xxix, 276 p. :ill., digital ;24 cm.
[NT 15003449]:	Prerequisites -- Introduction -- Equations of Motion of Parallel SCARA Robot -- Identification of Dynamic Parameters -- Model-based Torque Control -- PD based Torque Control -- Fuzzy Torque Feedforward Control -- Fuzzy Sliding Mode Control -- Open-loop based Control -- Iterative Learning Control Design -- Input Shaping Control -- Motion Planning -- PPO Test Trajectory Design -- Trajectory Planning by Polynomial Curve -- NURBS Curve based Trajectory Design -- Trajectory Synthesis with Four-order S-curve.
Contained By:	Springer Nature eBook
Subject:	Parallel robots. -
Online resource:	https://doi.org/10.1007/978-981-96-0443-2
ISBN:	9789819604432

Parallel PnP robots = dynamic control and motion planning /
Wu, Guanglei.

Parallel PnP robotsdynamic control and motion planning /[electronic resource] :by Guanglei Wu. - Singapore :Springer Nature Singapore :2025. - xxix, 276 p. :ill., digital ;24 cm.

Prerequisites -- Introduction -- Equations of Motion of Parallel SCARA Robot -- Identification of Dynamic Parameters -- Model-based Torque Control -- PD based Torque Control -- Fuzzy Torque Feedforward Control -- Fuzzy Sliding Mode Control -- Open-loop based Control -- Iterative Learning Control Design -- Input Shaping Control -- Motion Planning -- PPO Test Trajectory Design -- Trajectory Planning by Polynomial Curve -- NURBS Curve based Trajectory Design -- Trajectory Synthesis with Four-order S-curve.

This book provides the design and application of multiple control algorithms and motion planning to a family of parallel robots, which can be generalized to other robot counterparts. The book covers the fundamentals of dynamic models for control design, as well as a comparison of the control effects from the classical to advanced control algorithms step by step, which can help the researcher to understand the design procedure of control algorithms. It also includes different trajectory planning algorithms to ensure optimal robot performances. Furthermore, the research results previously scattered in many prestigious journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers, and graduate students in industrial parallel robotics who wish to learn the core principles, methods, algorithms, and applications.

ISBN: 9789819604432

Standard No.: 10.1007/978-981-96-0443-2doiSubjects--Topical Terms:

1002605
Parallel robots.

LC Class. No.: TJ211.4152

Dewey Class. No.: 629.892

Parallel PnP robots = dynamic control and motion planning /
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505 0 $a Prerequisites -- Introduction -- Equations of Motion of Parallel SCARA Robot -- Identification of Dynamic Parameters -- Model-based Torque Control -- PD based Torque Control -- Fuzzy Torque Feedforward Control -- Fuzzy Sliding Mode Control -- Open-loop based Control -- Iterative Learning Control Design -- Input Shaping Control -- Motion Planning -- PPO Test Trajectory Design -- Trajectory Planning by Polynomial Curve -- NURBS Curve based Trajectory Design -- Trajectory Synthesis with Four-order S-curve.
520 $a This book provides the design and application of multiple control algorithms and motion planning to a family of parallel robots, which can be generalized to other robot counterparts. The book covers the fundamentals of dynamic models for control design, as well as a comparison of the control effects from the classical to advanced control algorithms step by step, which can help the researcher to understand the design procedure of control algorithms. It also includes different trajectory planning algorithms to ensure optimal robot performances. Furthermore, the research results previously scattered in many prestigious journals and conferences worldwide are methodically edited and presented in a unified form. The book is likely to be of interest to university researchers, R&D engineers, and graduate students in industrial parallel robotics who wish to learn the core principles, methods, algorithms, and applications.
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