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Preface |
5 |
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Contents |
7 |
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Part I Outline |
9 |
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1 Introduction |
10 |
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2 Abstracts |
12 |
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Part II Sensors and Actuators |
24 |
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3 New Concepts for Distributed Actuators and Their Control |
25 |
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3.1 Introduction |
25 |
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3.2 Shape Memory Alloys as Flexible Actuators |
27 |
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3.2.1 Basics |
27 |
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3.2.2 Control Design |
29 |
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3.2.3 Structural Integration |
31 |
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3.3 Control and Feedback Control of Distributed Actuators |
34 |
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3.4 Conclusions and Outlook |
37 |
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3.5 References |
37 |
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4 Artificial Muscles, Made of Dielectric Elastomer Actuators A Promising Solution for Inherently Compliant Future Robots |
39 |
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4.1 Drawbacks of Prevailing Robotic Actuators |
39 |
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4.2 Benefits of DEAs in Soft Robotics |
41 |
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4.2.1 Capability of Energy Recuperation |
41 |
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4.2.2 Intrinsic Compliance and Adaptability |
42 |
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4.2.3 Outstanding Power-to-Weight Ratio |
42 |
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4.2.4 Capability of Self-sensing |
42 |
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4.2.5 Noiseless Actuation |
43 |
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4.3 Current Research Efforts |
43 |
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4.3.1 Manufacturing Artificial Muscles Based on DEA |
43 |
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4.3.2 Lightweight Power Electronics |
45 |
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4.4 Summary and Future Challenges |
46 |
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4.5 References |
46 |
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5 Musculoskeletal Robots and Wearable Devices on the Basis of Cable-driven Actuators |
48 |
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5.1 Introduction |
48 |
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5.2 Short State of the Art: From Musculoskeletal Robots to Wearable Devices |
49 |
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5.3 The Myorobotics Toolkit |
51 |
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5.3.1 Overview |
51 |
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5.3.2 Design Primitives Library (DPL) |
52 |
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5.4 Wearable Cable-Driven Robots |
54 |
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5.4.1 Requirements and Structure of a Body Worn Lifting Aid |
55 |
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5.4.2 Body Worn Lifting Aid |
56 |
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5.5 References |
57 |
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6 Capacitive Tactile Proximity Sensing: From Signal Processing to Applications in Manipulation and Safe Human-Robot Interaction |
60 |
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6.1 Introduction |
60 |
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6.2 Signal Processing and Feature Extraction |
61 |
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6.2.1 Tracking |
63 |
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6.2.2 Task and Environment Contexts for Feature Extraction |
63 |
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6.3 Applications |
65 |
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6.3.1 Proximity Servoing |
65 |
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6.3.2 Preshaping |
66 |
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6.3.3 Combined Haptic and Proximity-Based Exploration |
68 |
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6.4 Conclusions and Future Work |
68 |
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6.5 References |
70 |
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Part III Modeling, Simulation and Control |
72 |
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7 Perception of Deformable Objects and Compliant Manipulation for Service Robots |
73 |
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7.1 Introduction |
73 |
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7.2 Compliant Control for Service Robots |
74 |
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7.2.1 Compliant Task-Space Control |
75 |
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7.2.2 Applications of Compliant Control in Everyday Environments |
77 |
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7.2.3 Public Demonstrations |
79 |
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7.3 Object Manipulation Skill Transfer |
80 |
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7.3.1 Efficient RGB-D Deformable Registration |
80 |
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7.3.2 Skill Transfer through Shape Matching |
81 |
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7.3.3 Results |
82 |
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7.4 Conclusions |
83 |
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7.5 References |
83 |
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8 Soft Robot Control with a Behaviour-Based Architecture |
85 |
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8.1 Introduction |
85 |
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8.2 The Behaviour-based Architecture iB2C |
86 |
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8.2.1 Design of Complex Behaviour Networks |
88 |
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8.2.2 Oscillation Detection in Behaviour Networks |
89 |
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8.2.3 Verification of Behaviour Networks |
90 |
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8.3 Soft Control with the iB2C |
92 |
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8.4 Conclusion and Future Work |
93 |
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8.5 References |
94 |
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9 Optimal Exploitation of Soft-Robot Dynamics |
96 |
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9.1 Introduction |
96 |
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9.2 Problem Formulation |
97 |
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9.3 Optimal Controls for Constrained Deflection |
98 |
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9.4 Experiments |
101 |
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9.5 Conclusion |
102 |
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9.6 References |
102 |
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10 Simulation Technology for Soft Robotics Applications |
104 |
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10.1 Introduction |
104 |
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10.2 State of the Art |
105 |
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10.2.1 Simulation in “Classical” Robotics |
106 |
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10.2.2 Simulation in Soft Robotics |
107 |
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10.3 The Basic Concepts of eRobotics |
109 |
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10.3.1 3D Simulation-Based Development |
109 |
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10.3.2 The Virtual Testbed Approach |
109 |
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10.4 Integrating Simulation Algorithms |
112 |
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10.4.1 Multi-Domain Modeling with Bond Graphs |
113 |
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10.4.2 Multi-Domain Modeling by Integrating Single-Domain Tools |
114 |
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10.5 Simulation of Actuated and Controlled Manipulators |
115 |
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10.5.1 Simulation of Compliant Robots |
116 |
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10.5.2 Generation of a Compliant Trajectory |
116 |
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10.5.3 Torque-Based Tracking of the Compliant Trajectory |
117 |
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10.5.4 Drive Train Modeling and Simulation |
117 |
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10.5.5 Torque Control |
117 |
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10.6 Applications |
118 |
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10.6.1 FESTO Bionic Handling Assistant |
118 |
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10.6.2 Soft Physical Human Robot Interaction |
118 |
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10.6.3 Terramechanics |
120 |
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10.7 Conclusions and Outlook |
120 |
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10.8 References |
121 |
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11 Concepts of Softness for Legged Locomotion and Their Assessment |
124 |
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11.1 Biomechanics of Legged Locomotion |
124 |
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11.2 Legged Locomotion in Robotics |
126 |
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11.3 Biomechanical Concepts for Legged Locomotion |
128 |
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11.4 Radial and Tangential Leg Function |
129 |
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11.5 Leg Segmentation and Multi-Joint Structures |
131 |
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11.6 From Biomechanical Concepts to Robots |
131 |
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11.7 Assessment of Locomotor Function in Biomechanics and Robotics |
133 |
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11.8 Outlook |
134 |
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11.9 References |
135 |
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12 Mechanics and Thermodynamics of Biological Muscle A Simple Model Approach |
138 |
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12.1 The Biological Muscle Drives the Animal Motion |
138 |
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12.2 The Biological Muscle’s Various Design Features |
139 |
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12.2.1 The Biological Muscle’s Passive Mechanic Characteristics |
139 |
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12.2.2 Active Muscle and Stability |
141 |
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12.2.3 Mechanical Efficiency and Thermodynamic Enthalpy Rate |
143 |
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12.3 Designing a Technical Actuator from the Biological Prototype |
144 |
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12.4 Next Generation of Bio-inspired and Bio-like Actuators |
145 |
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12.5 References |
146 |
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Part IV Materials, Design and Manufacturing |
149 |
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13 Nanostructured Materials for Soft Robotics – Sensors and Actuators |
150 |
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13.1 Introduction |
150 |
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13.2 Actuators |
152 |
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13.3 Touch Sensors |
156 |
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13.4 Conclusions and Perspectives |
158 |
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13.5 References |
158 |
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14 Fibrous Materials and Textiles for Soft Robotics |
160 |
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14.1 Introduction |
160 |
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14.2 Fibrous Materials: Properties and Architecture |
161 |
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14.3 Functionalization Made Possible by New Textile Processing Technologies |
163 |
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14.4 Light-Weight-Structures for Robots |
166 |
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14.5 Adaptive and Intelligent Structures |
170 |
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14.6 Soft Robot Surface Design and Surface Functionalization |
174 |
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14.7 Conclusion |
175 |
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15 Opportunities and Challenges for the Design of Inherently Safe Robots |
176 |
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15.1 Introduction |
176 |
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15.2 State of the Art in Soft Robotics |
177 |
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15.3 Design of Soft Robots with Variable Stiffness |
178 |
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15.4 Concepts |
182 |
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15.5 Summary and Outlook |
184 |
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15.6 References |
184 |
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16 Aspects of Human Engineering – Bio-optimized Design of Wearable Machines |
187 |
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16.1 Introduction |
187 |
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16.1.1 The Challenge |
187 |
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16.1.2 Prevalence |
188 |
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16.2 Designing a Wearable Robot: State of the Art |
189 |
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16.2.1 Different Types of Exoskeletons |
189 |
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16.2.2 Power and Drives |
190 |
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16.2.3 Detection of User Intention |
191 |
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16.2.4 Human Anatomy |
193 |
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16.3 Therapy and Rehabilitation |
197 |
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16.4 Physical Prevention and Force Assistance |
197 |
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16.5 Vision: Auxiliary Assistance |
198 |
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16.6 References |
199 |
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17 3D Printed Objects and Components Enabling Next Generation of True Soft Robotics |
201 |
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17.1 Introduction |
201 |
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17.1.1 Additive Manufacturing (AM) as a Manufacturing Technology forSoft-Robotic-Systems |
202 |
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17.1.2 The Production Processes |
202 |
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17.1.3 The Term Robot and its Newly Added Additive Components |
203 |
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17.1.4 Integrated Functional Components |
203 |
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17.1.5 Soft Actuator Systems |
205 |
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17.1.6 Fabrication of Soft Objects Including Endless Fibers |
208 |
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17.2 Discussion and Outlook |
210 |
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17.3 References |
211 |
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Part V Soft Robotic Applications |
212 |
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18 Soft Hands for Reliable Grasping Strategies |
213 |
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18.1 Introduction |
213 |
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18.2 Exploiting Constraints |
214 |
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18.3 Requirements to Hardware |
216 |
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18.4 PneuFlex Actuators |
217 |
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18.5 Anthropomorphic Soft Hand Prototype |
218 |
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18.6 Example Implementation of a Grasping Strategy |
219 |
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18.7 Used Interactions |
220 |
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18.8 Limitations |
222 |
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18.9 Discussion |
222 |
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18.10 References |
223 |
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19 Task-specific Design of Tubular Continuum Robots for Surgical Applications |
224 |
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19.1 Introduction |
224 |
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19.2 Continuum Robots with Tubular Structure |
225 |
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19.2.1 Kinematic Structure |
225 |
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19.2.2 Kinematic Modelling |
225 |
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19.2.3 Component Tube Parameters |
226 |
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19.3 Task-specific Design |
226 |
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19.3.1 Design Heuristics |
227 |
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19.4 Computational Design Optimization |
228 |
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19.5 Discussion and Outlook |
230 |
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19.6 References |
231 |
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20 Soft Robotics with Variable Stiffness Actuators: Tough Robots for Soft Human Robot Interaction |
233 |
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20.1 Introduction |
233 |
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20.2 Compliant Actuation |
234 |
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20.2.1 Floating Spring Joint (FSJ) |
235 |
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20.2.2 Flexible Antagonistic Spring Element (FAS) |
236 |
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20.2.3 Bidirectional Antagonism with Variable Stiffness (BAVS) |
237 |
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20.3 Electronics and System Architecture |
238 |
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20.4 Hand Design and Control |
239 |
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20.5 Modeling Soft Robots |
241 |
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20.6 Cartesian Stiffness Control |
242 |
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20.6.1 Cartesian Impedance Control |
242 |
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20.6.2 Independent Position and Stiffness Control |
244 |
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20.7 Optimal Control |
246 |
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20.8 Collision Detection and Reaction |
247 |
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20.8.1 Reactions |
247 |
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20.8.2 Reflexes |
249 |
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20.9 Cyclic Motion Control |
250 |
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20.10 Conclusion |
252 |
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20.11 References |
252 |
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21 Soft Robotics Research, Challenges, and Innovation Potential, Through Showcases |
257 |
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21.1 Introduction: The Need for Soft Robots |
257 |
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21.2 The Challenges for Soft Robotics, Through the Octopus Showcase |
258 |
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21.2.1 Biological Insights |
258 |
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21.2.2 Soft Actuation Technologies |
260 |
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21.2.3 Soft Robot Modeling and Control |
260 |
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21.2.4 Integration and Validation of an Octopus-like Robot |
261 |
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21.3 Soft Robots at Work |
261 |
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21.3.1 Biomedical Applications of Soft Robotics: Octopus-derived Technologies in Surgery |
261 |
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21.3.2 Soft Robots in Explorations: An Octopus-like Underwater Robot |
262 |
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21.3.3 Soft Grippers for Manufacturing |
263 |
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21.4 Conclusions |
263 |
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21.5 References |
264 |
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22 Flexible Robot for Laser Phonomicrosurgery |
267 |
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22.1 Introduction |
267 |
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22.2 Phonomicrosurgery |
267 |
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22.3 System Design |
270 |
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22.3.1 Design Specifications and Constraints |
270 |
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22.3.2 Flexible Sections, Actuation Unit, and Control |
270 |
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22.4 Results |
271 |
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22.5 Conclusions |
272 |
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22.6 References |
272 |
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23 Soft Components for Soft Robots |
274 |
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23.1 Introduction: What Kind of Softness? |
274 |
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23.2 Actuators for Soft Robots |
275 |
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23.2.1 Actuators for Multi-DoF Designs |
275 |
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23.2.2 Pneumatic Artificial Muscles (PAMs) |
275 |
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23.2.3 Smart Material-Based Actuators |
276 |
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23.3 Soft Sensors |
277 |
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23.3.1 Soft Geometry for “Hard” Conductor |
277 |
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23.3.2 Conductive Material |
278 |
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23.3.3 Discrete Sensors in Soft Matrix for Distributed Sensing |
278 |
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23.4 Conclusions |
280 |
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23.5 References |
281 |
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24 Soft Robotics for Bio-mimicry of Esophageal Swallowing |
284 |
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24.1 Introduction |
284 |
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24.2 Interdisciplinary Specifications |
285 |
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24.3 Actuator Design and Manufacture |
286 |
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24.4 Experimental Characterization |
288 |
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24.4.1 Manometry Method and Findings |
289 |
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24.4.2 Articulography Method and Findings |
290 |
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24.5 Discussion and Conclusion |
292 |
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24.6 References |
292 |
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