+612 9045 4394
Kinematic Modeling, Identification, and Control of Robotic Manipulators : The Springer International Series in Engineering and Computer Science - Henry W. Stone

Kinematic Modeling, Identification, and Control of Robotic Manipulators

The Springer International Series in Engineering and Computer Science

Hardcover Published: 30th September 1987
ISBN: 9780898382372
Number Of Pages: 224

Share This Book:


RRP $628.99
or 4 easy payments of $108.94 with Learn more
Ships in 7 to 10 business days

Other Available Editions (Hide)

  • Paperback View Product Published: 23rd November 2011

The objective of this dissertation is to advance the state-of-the-art in the kinematic modeling, identification, and control of robotic manipulators with rigid links in an effort to improve robot kinematic performance. The positioning accuracy of commercially-available industrial robotic manipulators depends upon a kinematic model which describes the robot geometry in a parametric form. Manufacturing error in the machining and assembly of manipulators lead to discrepancies between the design parameters and the physical structure. Improving the kinematic perfor- mance thus requires the identification of the actual kinematic parameters of each individual robot. The identified kinematic parameters are referred to as the arm signature. Existing robot kinematic models, such as the Denavit-Hartenberg model, are not directly applicable to kinematic parameter identification. In this dissertation we introduce a new kinematic model, called the 5-Model, which is applicable to kinematic parameter identification, and use it as the foundation for our development of a general technique for identifying the kinematic parameters of any robot with rigid links.

1. Introduction.- 1.1. Overview.- 1.2. Motivation.- 1.3. Dissertation Goals and Contributions.- 1.4. Dissertation Outline.- 2. Review of Robot Kinematics, Identification, and Control.- 2.1. Overview.- 2.2. Coordinate Frame Kinematic Models.- 2.2.1. Denavit-Hartenberg Model.- 2.2.2. Whitney-Lozinski Model.- 2.3. Models of Revolute Joint Manipulators.- 2.4. Modeling Assumptions.- 2.5. Kinematic Identification.- 2.6. Kinematic Control.- 2.7. Conclusions.- 3. Formulation of the S-Model.- 3.1. Overview.- 3.2. S-Model.- 3.3. Computing S-Model Parameters.- 3.4.Conclusions.- 4. Kinematic Identification.- 4.1. Overview.- 4.2.Kinematic Features.- 4.3 S-Model Identification.- 4.3.1. Overview.- Feature Identification.- Link Coordinate Frame Specification.- S-Model Parameter Computation.- Denavit-Hartenberg Parameter Extraction.- 4.3.2. Feature Identification.- Plane-of-Rotation Estimation.- Center-of-Rotation Estimation.- Line-of-Translation Estimation.- 4.3.3. Link Coordinate Frame Specification.- 4.3.4. S-Model Parameters.- 4.3.5. Denavit-Hartenberg Parameters.- 4.4. Conclusions.- 5. Inverse Kinematics.- 5.1. Overview.- 5.2. Newton-Raphson Algorithm.- 5.3. Jacobi Iterative Method.- 5.4. Performance Evaluation.- 5.5. Comparative Computational Complexity.- 5.6. Conclusions.- 6. Prototype System and Performance Evaluation.- 6.1. Overview.- 6.2. System Overview.- 6.3. Sensor System.- 6.3.1. Description.- 6.4. Generating Features.- 6.5. Measuring Performance.- 6.5.1. One-Dimensional Grid.- 6.5.2. Two-Dimensional Grid.- 6.5.3. Three-Dimensional Grid.- 6.6. Kinematic Performance Evaluation.- 6.6.1. One-Dimensional Performance Evaluation.- 6.6.2. Two-Dimensional Performance Evaluation.- 6.6.3. Three-Dimensional Performance Evaluation.- 6.7. Conclusions.- 7. Performance Evaluation Based Upon Simulation.- 7.1. Overview.- 7.2. A Monte-Carlo Simulator.- 7.2.1. Evaluating Kinematic Performance.- 7.2.2. Design Model Control.- 7.2.3. Signature-Based Control.- 7.3. Simulator Verification.- 7.4. Results.- 7.4.1. Encoder Calibration Errors.- 7.4.2. Machining and Assembly Errors.- 7.4.3. Sensor Measurement Errors.- 7.4.4. Number of Measurements.- 7.4.5. Effect of Target Radius.- 7.5. Conclusions.- 8. Summary and Conclusions.- 8.1. Introduction.- 8.2. Summary and Contributions.- 8.3. Suggestions for Future Research.- Appendix A. Primitive Transformations.- Appendix B. Ideal Kinematics of the Puma 560.- B.1. Forward Kinematics.- B.2. Inverse Kinematics.- Appendix C. Inverse Kinematics.- C.1. Newton-Raphson Computations.- C.2. Jacobi Iterative Computations.- Appendix D. Identified Arm Signtaures.- Appendix E. Sensor Calibration.- E.1. Calibration Rods.- E.2. Slant Range Compensation.- Appendix F. Simulator Components.- F.1. Robot Manufacturing Error Model.- F.2. Simulator Input Parameters.- Appendix G. Simulation Results.- G.1. Encoder Calibration Errors.- G.2. Machining and Assembly Errors.- G.3. Sensor Measurement Errors.- G.4. Number of Measurements.- G.5. Target Radius.- References.

ISBN: 9780898382372
ISBN-10: 0898382378
Series: The Springer International Series in Engineering and Computer Science
Audience: Professional
Format: Hardcover
Language: English
Number Of Pages: 224
Published: 30th September 1987
Publisher: Kluwer Academic Publishers
Country of Publication: US
Dimensions (cm): 23.4 x 15.6  x 1.91
Weight (kg): 1.18