Overview

Comprehensive resource detailing the technology of rigid-flexible coupling robots and their applications Rigid-Flexible Coupling Hoisting Robots: Modeling, Analysis, and Control introduces the configuration and optimization design, mechanics and fundamental mechanical issues, uncertainty analysis, trajectory planning, control, and applications of rigid-flexible coupling hoisting robots. The book also reviews kinematics and dynamics modeling as well as design methods to enhance overall performance including motion decoupling, reconfigurable design, and optimization design. A series of numerical simulations and specific experiments on real prototypes are included to help readers quickly grasp both theory and practical application. Summarizing the numerous achievements the authors have made in the field in recent years, Rigid-Flexible Coupling Hoisting Robots: Modeling, Analysis, and Control includes information on: Fundamental challenges including trajectory planning, tracking control, and force control Multi-objective optimization design for workspace dexterity and stiffness Kinematic uncertainty analysis with random parameters, narrowly bounded uncertainty, and large-bounded uncertainty Dynamic uncertainty analysis with hybrid-random and interval parameters Controller design and platform development Rigid-Flexible Coupling Hoisting Robots: Modeling, Analysis, and Control is an essential reference on the subject for researchers and engineers in the field as well as graduate students in related programs of study.

Full Product Details

Author:   Bin Zi (Hefei University, China) ,  Bin Zhou (Hefei University, China)
Publisher:   John Wiley & Sons Inc
Imprint:   John Wiley & Sons Inc
ISBN:  

9781394308941

ISBN 10:   1394308949
Pages:   384
Publication Date:   27 April 2026
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Forthcoming
Availability:   Awaiting stock  

Table of Contents

1 Introduction 1.1 The Evolution of Rigid-Flexible Coupling Robots 1.2 The History and Development of Rigid-Flexible Coupling Hoisting Robots 1.3 The Applications of Rigid-Flexible Coupling Hoisting Robots in Various Fields 1.3.1 Construction 1.3.2 Ocean 1.3.3 Storage 1.4 Scope and Organization of This Book References 2 Kinematics and Dynamic Modeling of Rigid-Flexible Coupled Hoisting Robots 2.1 Preamble 2.2 Mechanism Design and Kinematic Analysis of Rigid-Flexible Coupling Hoisting Robots 2.2.1 Mechanism Design of Rigid-Flexible Coupling Hoisting Robot 2.2.2 Kinematic Modeling of Rigid-Flexible Coupled Hoisting Robots 2.3 Dynamic Modeling of Rigid-Flexible Coupling Hoisting Robots 2.3.1 Dynamic Modeling of Rigid-Flexible Coupled Hoisting Robot Based on Lagrange Method 2.3.2 Dynamic Modeling of Rigid-Flexible Coupled Hoisting Robot Based on Newton-Euler Method 2.4 Conclusions References 3 Motion Decoupling, Reconfigurable Design of Rigid-Flexible Coupling Hoisting Robots3.1 Preamble 3.2 Motion Decoupling Design for a 7-DOF Rigid-Flexible Coupling Hoisting Robot 3.2.1 Coupling Characteristic Analysis and Motion-Decoupling Method 3.2.2 Mechanical design of 7-DOF Rigid-Flexible Coupling Hoisting Robot 3.3 Modular and Reconfigurable Mechanism Design of Rigid-Flexible Coupling Hoisting Robots 3.3.1 Design Methodology 3.3.2 Mechanical Description 3.3.3 Typical Configuration 3.4 Integrated Mechanism Design of Dual Machine Collaborative Rigid-Flexible Coupling Hoisting Robots 3.4.1 Mechanical Design 3.4.2 Kinematic Modeling 3.4.3 Dynamic Modeling 3.5 Conclusions References 4 Optimization Design of Rigid-Flexible Coupling Hoisting Robots 4.1 Preamble 4.2 Multi-Objective Optimization Design for Workspace and Dexterity 4.2.1 Kinematic Modeling and Static Modeling of RFCHR 4.2.2 Performance Indices of RFCHR 4.2.3 Multi-Objective Optimal Design 4.3 Multi-Objective Optimization Design for Reliability, Workspace, and Stiffness 4.3.1 Performance Indices of RFCHR 4.3.2 Multi-Objective Optimization Design 4.4 Experiment and Verification 4.5 Conclusions   References 5 Kinematic Analysis of Rigid-Flexible Coupling Hoisting Robots with Uncertainty 5.1 Preamble 5.2 Kinematic Uncertainty Analysis with Random Parameters 5.2.1 Mechanism Description 5.2.2 Inverse Kinematics 5.2.3 DACS Equilibrium Equation Under Narrowly Random Model 5.2.4 MHRM For Luffing Angular Response Field of the DACS With Narrow Uncertainty 5.2.5 Numerical examples 5.2.6 Conclusions 5.3 Kinematic Uncertainty Analysis with Interval Variables 5.3.1 Interval Kinematic Equilibrium Equation 5.3.2 Hybrid Compound Function/Subinterval Perturbation Method 5.3.3 Numerical Examples 5.3.4 Conclusions 5.4 Kinematic Uncertainty Analysis Based on Evidence Theory 5.4.1 Architecture and Kinematics 5.4.2 Error Transfer Model 5.4.3 Uncertainty Analysis Based on Evidence Theory 5.4.4 Simulation and Comparison 5.4.5 Conclusions 5.5 Kinematic Uncertainty Analysis with Hybrid Random and Interval Parameters5.5.1 Hybrid Uncertain DACS With Random and Interval Parameters 5.5.2 The LAR analysis of the DACS with small uncertainty 5.5.3 Hybrid LAR Field Calculation of the DACS 5.5.4 Numerical Examples 5.5.5 Conclusion 5.6 Conclusions References 6 Dynamic Analysis of Rigid-Flexible Coupling Hoisting Robots with Uncertainty 6.1 Preamble154 6.2 Static Uncertainty Analysis with Fuzzy Parameters 6.2.1 Fuzzy Static Equilibrium Equation 6.2.2 CFFPM 6.2.3 MCFFPM 6.2.4 Numerical Examples 6.2.5 Conclusions 6.3 Dynamic Uncertainty Analysis with Hybrid Random and Interval Parameters6.3.1 LSOAAC Equilibrium Equation Under the Hybrid Uncertain Model 6.3.2 MHUAM for the Dynamic Response Analysis of LSOAAC 6.3.3 Hybrid LSOAAC Response Field Calculation 6.3.4 Numerical Examples 6.3.5 Conclusions 6.4 Conclusions References 7 Trajectory Planning and Tracking Control of Rigid-Flexible Coupling Hoisting Robots 7.1 Preamble 7.2 Trajectory Planning for Rigid-Flexible Coupling Hoisting Robots 7.2.1 Inverse Kinematic Modeling 7.2.2 Dynamic Modeling 7.2.3 Point-To-Point Trajectory Planning 7.2.4 Numerical Simulation and Experiments 7.2.5 Conclusions 7.3 Fuzzy Control for Rigid-Flexible Coupling Hoisting Robots 7.3.1 Fuzzy Trajectory Tracking Control 7.3.2 Numerical Simulations 7.3.3 Experiment Validation 7.3.4 Conclusion 7.4 Force Control for Rigid-Flexible Coupling Hoisting Robots 7.4.1 Construction of Experimental Platform 7.4.2 Cable Driving Force Control Method 7.4.3 Control and Monitoring Program Design 7.4.4 Test and Verification Experiment 7.4.5 Conclusion 7.5 Conclusions References 8 Platform Development and Application for Rigid-Flexible Coupling Hoisting Robots248 8.1 Preamble 8.2 Platform Development and Performance Verification of a Rigid-Flexible Coupling Robot for Yard Operations 8.2.1 Physical Prototype Development 8.2.2 Robot Motion Performance Experiment 8.3 Platform Development and Performance Verification for the 7-DOF Rigid-Flexible Coupling Hoisting Robot 8.3.1 Physical Prototype Development 8.3.2 Verification of Decoupling Performance 8.3.3 Overall Performance 8.4 Conclusions References 1 Introduction 1.1 The Evolution of Rigid-Flexible Coupling Robots 1.2 The History and Development of Rigid-Flexible Coupling Hoisting Robots 1.3 The Applications of Rigid-Flexible Coupling Hoisting Robots in Various Fields 1.3.1 Construction 1.3.2 Ocean 1.3.3 Storage 1.4 Scope and Organization of This Book References 2 Kinematics and Dynamic Modeling of Rigid-Flexible Coupled Hoisting Robots 2.1 Preamble 2.2 Mechanism Design and Kinematic Analysis of Rigid-Flexible Coupling Hoisting Robots 2.2.1 Mechanism Design of Rigid-Flexible Coupling Hoisting Robot 2.2.2 Kinematic Modeling of Rigid-Flexible Coupled Hoisting Robots 2.3 Dynamic Modeling of Rigid-Flexible Coupling Hoisting Robots 2.3.1 Dynamic Modeling of Rigid-Flexible Coupled Hoisting Robot Based on Lagrange Method 2.3.2 Dynamic Modeling of Rigid-Flexible Coupled Hoisting Robot Based on Newton-Euler Method 2.4 Conclusions References 3 Motion Decoupling, Reconfigurable Design of Rigid-Flexible Coupling Hoisting Robots 3.1 Preamble 3.2 Motion Decoupling Design for a 7-DOF Rigid-Flexible Coupling Hoisting Robot 3.2.1 Coupling Characteristic Analysis and Motion-Decoupling Method 3.2.2 Mechanical design of 7-DOF Rigid-Flexible Coupling Hoisting Robot 3.3 Modular and Reconfigurable Mechanism Design of Rigid-Flexible Coupling Hoisting Robots 3.3.1 Design Methodology 3.3.2 Mechanical Description 3.3.3 Typical Configuration 3.4 Integrated Mechanism Design of Dual Machine Collaborative Rigid-Flexible Coupling Hoisting Robots 3.4.1 Mechanical Design 3.4.2 Kinematic Modeling 3.4.3 Dynamic Modeling 3.5 Conclusions References 4 Optimization Design of Rigid-Flexible Coupling Hoisting Robots 4.1 Preamble 4.2 Multi-Objective Optimization Design for Workspace and Dexterity 4.2.1 Kinematic Modeling and Static Modeling of RFCHR 4.2.2 Performance Indices of RFCHR 4.2.3 Multi-Objective Optimal Design 4.3 Multi-Objective Optimization Design for Reliability, Workspace, and Stiffness 4.3.1 Performance Indices of RFCHR 4.3.2 Multi-Objective Optimization Design 4.4 Experiment and Verification 4.5 Conclusions References 5 Kinematic Analysis of Rigid-Flexible Coupling Hoisting Robots with Uncertainty 5.1 Preamble 5.2 Kinematic Uncertainty Analysis with Random Parameters 5.2.1 Mechanism Description 5.2.2 Inverse Kinematics 5.2.3 DACS Equilibrium Equation Under Narrowly Random Model 5.2.4 MHRM For Luffing Angular Response Field of the DACS With Narrow Uncertainty 5.2.5 Numerical examples 5.2.6 Conclusions 5.3 Kinematic Uncertainty Analysis with Interval Variables 5.3.1 Interval Kinematic Equilibrium Equation 5.3.2 Hybrid Compound Function/Subinterval Perturbation Method 5.3.3 Numerical Examples 5.3.4 Conclusions 5.4 Kinematic Uncertainty Analysis Based on Evidence Theory 5.4.1 Architecture and Kinematics 5.4.2 Error Transfer Model 5.4.3 Uncertainty Analysis Based on Evidence Theory 5.4.4 Simulation and Comparison 5.4.5 Conclusions 5.5 Kinematic Uncertainty Analysis with Hybrid Random and Interval Parameters 5.5.1 Hybrid Uncertain DACS With Random and Interval Parameters 5.5.2 The LAR analysis of the DACS with small uncertainty 5.5.3 Hybrid LAR Field Calculation of the DACS 5.5.4 Numerical Examples 5.5.5 Conclusion 5.6 Conclusions References 6 Dynamic Analysis of Rigid-Flexible Coupling Hoisting Robots with Uncertainty 6.1 Preamble154 6.2 Static Uncertainty Analysis with Fuzzy Parameters 6.2.1 Fuzzy Static Equilibrium Equation 6.2.2 CFFPM 6.2.3 MCFFPM 6.2.4 Numerical Examples 6.2.5 Conclusions 6.3 Dynamic Uncertainty Analysis with Hybrid Random and Interval Parameters 6.3.1 LSOAAC Equilibrium Equation Under the Hybrid Uncertain Model 6.3.2 MHUAM for the Dynamic Response Analysis of LSOAAC 6.3.3 Hybrid LSOAAC Response Field Calculation 6.3.4 Numerical Examples 6.3.5 Conclusions 6.4 Conclusions References 7 Trajectory Planning and Tracking Control of Rigid-Flexible Coupling Hoisting Robots 7.1 Preamble 7.2 Trajectory Planning for Rigid-Flexible Coupling Hoisting Robots 7.2.1 Inverse Kinematic Modeling 7.2.2 Dynamic Modeling 7.2.3 Point-To-Point Trajectory Planning 7.2.4 Numerical Simulation and Experiments 7.2.5 Conclusions 7.3 Fuzzy Control for Rigid-Flexible Coupling Hoisting Robots 7.3.1 Fuzzy Trajectory Tracking Control 7.3.2 Numerical Simulations 7.3.3 Experiment Validation 7.3.4 Conclusion 7.4 Force Control for Rigid-Flexible Coupling Hoisting Robots 7.4.1 Construction of Experimental Platform 7.4.2 Cable Driving Force Control Method 7.4.3 Control and Monitoring Program Design 7.4.4 Test and Verification Experiment 7.4.5 Conclusion 7.5 Conclusions References 8 Platform Development and Application for Rigid-Flexible Coupling Hoisting Robots 8.1 Preamble 8.2 Platform Development and Performance Verification of a Rigid-Flexible Coupling Robot for Yard Operations 8.2.1 Physical Prototype Development 8.2.2 Robot Motion Performance Experiment 8.3 Platform Development and Performance Verification for the 7-DOF Rigid-Flexible Coupling Hoisting Robot 8.3.1 Physical Prototype Development 8.3.2 Verification of Decoupling Performance 8.3.3 Overall Performance 8.4 Conclusions References  

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Author Information

Bin Zi is currently a Professor with the School of Mechano-Electronic Engineering, Xidian University, Xi’an, China. He has published 5 monographs, more than 200 papers and more than 100 authorized invention patents. His research interests include the theory, technology and equipment of intelligent rigid-flexible coupling robots, and automation of intelligent manufacturing system. Bin Zhou is currently an associate professor with the School of Mechanical Engineering, Hefei University of Technology, Hefei, China. he has authored more than 20 papers and more than 15 authorized invention patents. His research interests include uncertainty analysis and reliability-based optimization design, and intelligent control of rigid-flexible coupling robots.

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