About the Editors |
|
xi | |
|
1 Development of tactile sensors for intelligent robotics research |
|
|
1 | (26) |
|
|
|
|
|
1 | (2) |
|
1.2 Developed tactile sensors and implementations |
|
|
3 | (10) |
|
1.2.1 Conformable and scalable tactile sensor for 3D-curved surfaces |
|
|
3 | (3) |
|
1.2.2 High-density tactile sensor for bare-hand-like sensor gloves |
|
|
6 | (4) |
|
1.2.3 Stretchable tactile sensor based on inverse problem analysis |
|
|
10 | (3) |
|
1.3 Tactile sensing and robotics: future direction |
|
|
13 | (7) |
|
|
14 | (2) |
|
|
16 | (3) |
|
|
19 | (1) |
|
|
20 | (7) |
|
|
23 | (4) |
|
2 Developmental soft robotics |
|
|
27 | (28) |
|
|
|
|
27 | (2) |
|
2.2 Bio-inspired soft robotics |
|
|
29 | (4) |
|
2.2.1 Soft materials and soft actuation |
|
|
29 | (3) |
|
2.2.2 Soft robot control, simulation and learning |
|
|
32 | (1) |
|
2.3 Developmental soft robotics |
|
|
33 | (9) |
|
2.3.1 Facets of development |
|
|
33 | (2) |
|
2.3.2 Soft robotics and developmental time scales |
|
|
35 | (2) |
|
|
37 | (4) |
|
2.3.4 Ontogenetics and adaptivity |
|
|
41 | (1) |
|
2.4 Challenges and perspectives |
|
|
42 | (13) |
|
2.4.1 Evolutionary robotics |
|
|
43 | (1) |
|
2.4.2 Complexity and scalability |
|
|
44 | (1) |
|
2.4.3 Learning through the body |
|
|
44 | (1) |
|
|
45 | (10) |
|
3 Three-axis tactile sensor using optical transduction mechanism |
|
|
55 | (20) |
|
|
|
|
55 | (3) |
|
3.2 Design concept of the optical three-axis tactile sensor |
|
|
58 | (4) |
|
|
58 | (1) |
|
3.2.2 Conical-columnar feeler-type optical three-axis tactile sensor |
|
|
59 | (2) |
|
3.2.3 Tracking-centroid-movement-type optical three-axis tactile sensor |
|
|
61 | (1) |
|
3.3 Actual design of the optical three-axis tactile sensor |
|
|
62 | (5) |
|
|
62 | (1) |
|
|
62 | (3) |
|
3.3.3 Tracking-contact-area-movement type |
|
|
65 | (2) |
|
|
67 | (3) |
|
3.4.1 Tasks achieved by three-axis tactile sensing |
|
|
67 | (1) |
|
3.4.2 Picking-up and counting paper |
|
|
68 | (2) |
|
3.4.3 Human-robot communication |
|
|
70 | (1) |
|
|
70 | (5) |
|
|
71 | (4) |
|
4 Strain sensors for soft robotic applications |
|
|
75 | (16) |
|
|
|
|
75 | (1) |
|
4.2 Mechanisms for strain sensors |
|
|
76 | (2) |
|
4.2.1 Strain sensing based on intrinsic properties of materials and tunneling effect |
|
|
76 | (1) |
|
4.2.2 Disconnection and microcrack propagation mechanism |
|
|
77 | (1) |
|
4.3 Classification of strain sensors |
|
|
78 | (6) |
|
4.3.1 Piezoresistive strain sensors |
|
|
78 | (3) |
|
4.3.2 Capacitive-type strain sensors |
|
|
81 | (2) |
|
4.3.3 Triboelectric-type strain sensors |
|
|
83 | (1) |
|
|
84 | (7) |
|
|
85 | (6) |
|
5 Neuromorphic principles for large-scale robot skin |
|
|
91 | (34) |
|
|
|
|
5.1 Classical engineering approaches are reaching their limits |
|
|
91 | (2) |
|
5.1.1 Motivations for robot skin |
|
|
91 | (1) |
|
|
92 | (1) |
|
5.1.3 Challenges and limits of robot skin |
|
|
92 | (1) |
|
5.2 Biology employs a toolbox full of optimized principles |
|
|
93 | (4) |
|
5.2.1 Skin receptors are tuned to sense specific stimulus features |
|
|
93 | (1) |
|
5.2.2 Skin receptors transduce stimuli features to binary action potentials |
|
|
94 | (1) |
|
5.2.3 Skin information is encoded by different neural codes |
|
|
94 | (1) |
|
5.2.4 Skin information ascends somatotopically ordered |
|
|
95 | (1) |
|
5.2.5 Skin information is structured and processed hierarchically |
|
|
95 | (1) |
|
5.2.6 The cognitive where |
|
|
96 | (1) |
|
|
97 | (1) |
|
5.3 Biological principles are the key to large-scale robot skin |
|
|
97 | (1) |
|
5.3.1 Neuromorphic event-driven sensors |
|
|
97 | (1) |
|
5.3.2 Neuromorphic information representation in hierarchical structures |
|
|
98 | (1) |
|
5.4 Neuromorphic systems realize biological principles |
|
|
98 | (14) |
|
5.4.1 Neuromorphic event-driven vision has been engineered first |
|
|
98 | (3) |
|
5.4.2 The neuromorphic AER is a standard for transmitting events |
|
|
101 | (3) |
|
5.4.3 The send-on-delta principle allows event-driven transmission and processing in synchronous systems |
|
|
104 | (1) |
|
5.4.4 Neuromorphic event-driven skin is under development |
|
|
105 | (3) |
|
5.4.5 Neuromorphic information representations mimic the primary somatosensory cortex |
|
|
108 | (2) |
|
5.4.6 Neuromorphic parallel information streams of the cognitive where and what |
|
|
110 | (2) |
|
5.5 The realization of an event-driven large-scale robot skin system |
|
|
112 | (13) |
|
|
112 | (3) |
|
5.5.2 Event-driven reactive skin control |
|
|
115 | (2) |
|
|
117 | (1) |
|
|
117 | (8) |
|
6 Soft three-axial tactile sensors with integrated electronics for robot skin |
|
|
125 | (48) |
|
|
|
|
|
|
|
|
|
|
|
|
|
125 | (2) |
|
|
127 | (7) |
|
6.2.1 Piezoelectric-based sensors |
|
|
127 | (1) |
|
6.2.2 Optical-based sensors |
|
|
128 | (1) |
|
6.2.3 Hall-effect-based sensors |
|
|
128 | (2) |
|
6.2.4 PSECR-based sensors |
|
|
130 | (1) |
|
6.2.5 Piezoresistive-based sensors |
|
|
130 | (2) |
|
6.2.6 Capacitive-based sensors |
|
|
132 | (2) |
|
|
134 | (1) |
|
6.2.8 Proximity detection |
|
|
134 | (1) |
|
6.2.9 Summary of related work |
|
|
134 | (1) |
|
6.3 Three-axis capacitive soft skin sensor |
|
|
134 | (20) |
|
|
134 | (1) |
|
|
135 | (5) |
|
|
140 | (12) |
|
|
152 | (2) |
|
6.4 Three-axis Hall-effect sensors |
|
|
154 | (12) |
|
|
154 | (1) |
|
|
154 | (3) |
|
|
157 | (9) |
|
|
166 | (7) |
|
|
167 | (6) |
|
7 A review of tactile sensing in e-skin, wearable device, robotic, and medical service |
|
|
173 | (28) |
|
|
|
|
|
174 | (1) |
|
7.2 Hardware of various tactile sensing technologies |
|
|
175 | (7) |
|
|
178 | (1) |
|
|
178 | (1) |
|
|
178 | (1) |
|
|
179 | (1) |
|
|
180 | (1) |
|
7.2.6 Quantum tunneling composite |
|
|
180 | (1) |
|
7.2.7 Triboelectric effect |
|
|
181 | (1) |
|
7.2.8 Field-effect transistor |
|
|
181 | (1) |
|
7.3 Design criterion and performance index of a tactile sensing system |
|
|
182 | (1) |
|
7.4 Applications of tactile sensing technologies |
|
|
183 | (4) |
|
7.4.1 Development trend of tactile sensing technologies in e-skin |
|
|
183 | (1) |
|
7.4.2 Development trend of tactile sensing technologies in a wearable device |
|
|
184 | (1) |
|
7.4.3 Development trend of tactile sensing technologies in robotic |
|
|
185 | (1) |
|
7.4.4 Development trend of tactile sensing technologies in medical service |
|
|
186 | (1) |
|
7.5 Challenges and discussion |
|
|
187 | (14) |
|
7.5.1 Standardization of fabrication process |
|
|
187 | (1) |
|
7.5.2 Data transmission of high-density tactile sensing elements |
|
|
188 | (1) |
|
7.5.3 Fault tolerance and autocalibration |
|
|
188 | (1) |
|
7.5.4 Layout of sensing elements on an irregular 3D |
|
|
189 | (1) |
|
|
189 | (12) |
|
8 Neuroengineering approaches for cognitive hearing technology |
|
|
201 | (12) |
|
|
|
201 | (1) |
|
8.2 General aspects of neurofeedback in a hearing aid |
|
|
202 | (2) |
|
8.3 Decoding selective attention to speech from the auditory brainstem response to the temporal fine structure |
|
|
204 | (2) |
|
8.4 Decoding speech comprehension from cortical tracking of speech features |
|
|
206 | (1) |
|
8.5 Enhancing speech comprehension through transcranial electric stimulation |
|
|
207 | (2) |
|
|
209 | (4) |
|
|
209 | (4) |
|
9 Mobile robot olfaction state-of-the-art and research challenges |
|
|
213 | (36) |
|
|
|
|
|
|
213 | (1) |
|
|
214 | (2) |
|
|
216 | (9) |
|
|
217 | (6) |
|
|
223 | (2) |
|
9.4 Odour source localisation |
|
|
225 | (6) |
|
|
225 | (2) |
|
9.4.2 Tracking odour plumes |
|
|
227 | (3) |
|
|
230 | (1) |
|
9.5 Learning in mobile robot olfaction |
|
|
231 | (5) |
|
9.5.1 Source-term estimation |
|
|
231 | (1) |
|
|
232 | (4) |
|
|
236 | (13) |
|
9.6.1 Artificial olfaction |
|
|
236 | (1) |
|
9.6.2 Odour source localisation |
|
|
237 | (1) |
|
9.6.3 Learning to locate odour sources |
|
|
238 | (1) |
|
|
239 | (10) |
|
10 Vision sensors for robotic perception |
|
|
249 | (16) |
|
|
|
|
|
|
249 | (3) |
|
10.2 RGB cameras for robotic perception |
|
|
252 | (1) |
|
|
253 | (1) |
|
|
253 | (1) |
|
|
253 | (1) |
|
10.4.2 Applications in robotics |
|
|
254 | (1) |
|
|
254 | (1) |
|
10.6 Vision sensors for other modalities |
|
|
255 | (5) |
|
10.6.1 Marker-based sensors |
|
|
256 | (1) |
|
10.6.2 Image-based sensors |
|
|
256 | (4) |
|
|
260 | (5) |
|
|
261 | (1) |
|
|
261 | (4) |
|
|
265 | (34) |
|
|
|
|
|
265 | (3) |
|
11.1.1 Airborne microphones |
|
|
266 | (1) |
|
11.1.2 Microphones for underwater |
|
|
267 | (1) |
|
11.1.3 Microphones for underground and structures |
|
|
267 | (1) |
|
11.1.4 Microphones for biological bodies |
|
|
267 | (1) |
|
11.2 Microphones for audible sounds |
|
|
268 | (6) |
|
11.2.1 Indicators for microphone characteristics |
|
|
271 | (3) |
|
|
274 | (4) |
|
|
278 | (1) |
|
11.5 Acoustic signal processing |
|
|
279 | (4) |
|
11.6 OSS for robot audition |
|
|
283 | (2) |
|
11.7 Applications of robot audition |
|
|
285 | (6) |
|
11.7.1 Prince Shotoku robot |
|
|
285 | (1) |
|
11.7.2 Drone audition system |
|
|
286 | (3) |
|
11.7.3 VR system based on bird song scene analysis |
|
|
289 | (2) |
|
|
291 | (8) |
|
|
291 | (8) |
|
|
299 | (12) |
|
|
|
299 | (12) |
|
|
299 | (4) |
|
|
303 | (3) |
|
|
306 | (5) |
Index |
|
311 | |