: Andrew Adamatzky, Maciej Komosinski
: Artificial Life Models in Hardware
: Springer-Verlag
: 9781848825307
: 1
: CHF 90.20
:
: Hardware
: English
: 268
: Wasserzeichen/DRM
: PC/MAC/eReader/Tablet
: PDF

Hopping, climbing and swimming robots, nano-size neural networks, motorless walkers, slime mould and chemical brains - 'Artificial Life Models in Hardware' offers unique designs and prototypes of life-like creatures in conventional hardware and hybrid bio-silicon systems. Ideas and implementations of living phenomena in non-living substrates cast a colourful picture of state-of-art advances in hardware models of artificial life.

Contents8
List of Contributors13
The History and Future of Stiquito: A Hexapod Insectoid Robot17
1.1 Introduction17
1.2 The Origins of Stiquito17
1.3 Engineering a Commercial Stiquito19
1.4 How the Stiquito Insect Walks20
1.5 Microprocessor Control and Stiquito Controlled23
1.6 The Extended Analog Computer as a Biologically Based Stiquito Controller25
1.7 The Sessile Stiquito Colony29
1.8 Educational Uses of Stiquito33
1.9 The Future of Stiquito34
References35
Learning Legged Locomotion37
2.1 Introduction37
2.2 Learning from Delayed Reward38
2.3 Learning from Implicit Reward42
2.4 Conclusion47
References48
Salamandra Robotica: A Biologically Inspired Amphibious Robot that Swims and Walks50
3.1 Introduction50
3.2 Robot's Design59
3.3 Hardware62
3.4 Experiments69
3.5 Future Work75
3.6 Conclusion76
References78
Multilocomotion Robot: Novel Concept, Mechanism, and Control of Bio- inspired Robot80
4.1 Introduction80
4.2 Multilocomotion Robot81
4.3 Gorilla Robot86
4.4 Evaluation of the Gorilla Robot on Slopes as Quadruped Hardware90
4.5 PreviousWorks Using the Gorilla Robot97
4.6 Summary99
References100
Self-regulatory Hardware: Evolutionary Design for Mechanical Passivity on a Pseudo Passive Dynamic Walker102
5.1 Introduction102
5.2 Background103
5.3 Evolutionary Design System of Legged Robots104
5.4 Evolutionary Design of Biped Robots107
5.5 Conclusion116
References117
Perception for Action in Roving Robots: A Dynamical System Approach118
6.1 Introduction118
6.2 Control Architecture120
6.3 Hardware Devices128
6.4 Hardware Implementation132
6.5 Experiments137
6.6 Summary and Remarks144
6.7 Conclusion145
References145
Nature-inspired Single-electron Computers148
7.1 Introduction148
7.2 A Single-electron Reaction-diffusion Device for Computation of a Voronoi Diagram149
7.3 Neuronal Synchrony Detection on Single-electron Neural Networks155
7.4 Stochastic Resonance Among Single-Electron Neurons on Schottky Wrap- Gate Devices165
7.5 Single-electron Circuits Performing Dendritic Pattern Formation with Nature- inspired Cellular Automata166
7.6 Summary and Future Works170
References172
Tribolon: Water-Based Self-Assembly Robots175
8.1 Introduction175
8.2 Self-Assembly Robots176
8.3 Tribolon: Water-Based Self-Assembly Robots178
8.4 Speculations About Life195
References196
Artificial Symbiosis in EcoBots199
9.1 Introduction199
9.2 Materials and Methods204
9.3 Results212
9.4 Discussion219
9.5 Conclusions223
References224
The Phi-Bot: A Robot Controlled by a Slime Mould226
10.1 Introduction226
10.2 Physarum Polycephalum as Information Processor227
10.3 Cellular Robot Control228
10.4 Computation, Control, and Coordination in the F-Bot:Material for a Theory of Bounded Computability236
10.5 Conclusion243
References244
Reaction-Diffusion Controllers for Robots246
11.1 Introduction246
11.2 BZ Medium249
11.3 Robot Taxis249
11.4 Open-Loop Parallel Actuators255
11.5 Closed-Loop Control of Robotic Hand264
11.6 Physarum Robots268
11.7 Conclusion273
References276
Index278