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Control Theory of Multi-fingered Hands: A Modelling and AnalyticalMechanics Approach for Dexterity and Intelligence 2008 ed. [Kõva köide]

  • Formaat: Hardback, 271 pages, kõrgus x laius: 235x155 mm, kaal: 1270 g, IX, 271 p., 1 Hardback
  • Ilmumisaeg: 17-Dec-2007
  • Kirjastus: Springer London Ltd
  • ISBN-10: 1848000626
  • ISBN-13: 9781848000629
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  • Formaat: Hardback, 271 pages, kõrgus x laius: 235x155 mm, kaal: 1270 g, IX, 271 p., 1 Hardback
  • Ilmumisaeg: 17-Dec-2007
  • Kirjastus: Springer London Ltd
  • ISBN-10: 1848000626
  • ISBN-13: 9781848000629
Teised raamatud teemal:

Here you’ll find a comprehensive insight into the intelligence and dexterity of robotic multi-fingered hands from both the physical and control-theoretic viewpoints. It focuses on the problem of how to control dexterous movements of fingers interacting with an object in the execution of everyday tasks. It moves on to clarify what kinds of sensory-motor coordinated signals are necessary and sufficient for realizing stable grasping as well as object manipulation.



Here you'll find a comprehensive insight into the intelligence and dexterity of robotic multi-fingered hands from both the physical and control-theoretic viewpoints. It focuses on the problem of how to control dexterous movements of fingers interacting with an object in the execution of everyday tasks. It moves on to clarify what kinds of sensory-motor coordinated signals are necessary and sufficient for realizing stable grasping as well as object manipulation.
1 Characterisations of Human Hands 1
1.1 What Has Evolved the Human Hand?
1
1.2 Dexterity in Redundancy of Finger Joints
5
1.3 Bernstein's DOF Problems
8
1.4 Physical Principles Underlying Functionality of the Human Arm and Hand
14
1.5 Difficulty in the Development of Everyday Physics
17
1.6 Newton's Laws of Motion
20
1.7 Kinetic Energy of a System of Particles
25
1.8 Kinematics and Dynamics of a Rigid Body
30
1.9 Variational Principle and Lagrange's Equation
32
2 Stability of Grasping in a Static or Dynamic Sense 41
2.1 Immobilisation of 2-D Objects
42
2.2 Force/Torque Closure
44
2.3 Frictional Grasp of 2-D Objects
48
2.4 Rolling Contact Constraint
50
2.5 Testbed Problems for Dynamically Stable Grasp
54
2.6 Blind Grasping and Robustness Problems
65
2.7 Exponential Convergence to Force/Torque Balance
74
3 Testbed Problems to Control a 2-D Object Through Rolling Contact 81
3.1 Stabilisation of Motion of a 2-D Object Through Rolling Contact
82
3.2 Stability Problems under Redundancy of DOFs
89
3.3 Riemannian Distance and Stability on a Manifold
93
3.4 Exponential Convergence for Stabilisation of Rotational Moments
97
3.5 Dynamic Force/Torque Balance Based upon Morse Theory
102
3.6 Minimum DOF for Dynamic Immobilisation of a 2-D Pivoted Object
107
4 Two-dimensional Grasping by a Pair of Rigid Fingers 115
4.1 Dynamics of the Physical Interaction Between Fingers and an Object
115
4.2 Force/Torque Balance
120
4.3 Control Signals for Grasping in a Blind Manner
126
4.4 Construction of Simulators for Object Grasping and Manipulation
133
4.5 Stability of Blind Grasping
135
4.6 Stability on a Manifold and Transferability to the EP Manifold
145
4.7 Experiments of Blind Grasping
151
5 Three-dimensional Grasping by a Pair of Rigid Fingers 155
5.1 Introduction
156
5.2 Non-holonomic Constraints
157
5.3 Three-dimensional Rolling Contact Constraints
160
5.4 Lagrange's Equation for the Overall Fingers—Object System
165
5.5 Physical Meaning of Opposition-based Control Under Rollings
167
5.6 Stability of Blind Grasping under the Circumstances of Weightlessness
171
5.7 Control for Stable Blind Grasping
176
5.8 Numerical Simulation Results
179
5.9 A Mathematical Proof of the Stability of Blind Grasping
184
5.10 Stable Manipulation of a 3-D Rigid Object
189
5.11 Full-DOF Model of 3-D Grasping
191
5.12 Supplementary Results
203
6 Dexterity and Control for Stable Grasping by Soft Fingers 207
6.1 Lumped-Parameterisation of the Behaviours of Soft and Visco-elastic Fingertips
207
6.2 Stabilisation of a 2-D Object by a Single DOF Soft Finger
209
6.3 Stable Grasping of a 2-D Object by Dual Single-DOF Soft Fingers
216
6.4 Convergence to Force/Torque Balance by a Pair of Soft Fingers
227
6.5 Precision Prehension of a 2-D Object under Gravity
237
6.6 Prehension of a 3-D Object by a Pair of Soft Fingers
243
6.7 Dynamics of a Full—Variables Model for 3-D Grasping by Soft Fingers
248
A Mathematical Supplements 257
B A Bibliographic Note on the References 259
References 263
Index 269


Dr Suguru Arimoto is a Professor in the Department of Robotics at Ritsumeikan University, Japan. His research interests include information theory, control theory, cybernetics, robotics, and machine intelligence. Dr Arimoto is a Fellow of the Institute of Electrical and Electronics Engineers; the Institute of Electronics, Information and Communication Engineers; the Robotics Society of Japan; and the Japan Society of Mechanical Engineers. He was awarded the Royal Medal with a Purple Ribbon from the Japanese Government in 2000, and the IEEE 3rd Millennium Medal in 2000.