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E-grāmata: Neural Preprocessing and Control of Reactive Walking Machines: Towards Versatile Artificial Perception-Action Systems

  • Formāts: PDF+DRM
  • Sērija : Cognitive Technologies
  • Izdošanas datums: 10-May-2007
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783540688037
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  • Formāts: PDF+DRM
  • Sērija : Cognitive Technologies
  • Izdošanas datums: 10-May-2007
  • Izdevniecība: Springer-Verlag Berlin and Heidelberg GmbH & Co. K
  • Valoda: eng
  • ISBN-13: 9783540688037
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Biologically inspired walking machines are fascinating objects to study, from thepointofviewoftheirmechatronicaldesignaswellastherealisationofc- trol concepts. Research on this subject takes its place in a rapidly growing, highly interdisciplinary ?eld, uniting contributions from areas as diverse as biology, biomechanics, material science, neuroscience, engineering, and c- puter science. Nature has found fascinating solutions for the problem of legged loco- tion, and the mechanisms generating the complex motion patterns performed by animals are still not very well understood. Natural movements provide the impressionofeleganceandsmoothness,whereastheimitationoftheirarti cial analogues still looks rather clumsy. The diverse research on arti cial legged locomotion mainly concentrated on the mechanical design and on pure movement control of these machines; i.e., in general these machines were unable to perceive their environment and reactappropriately.Contributionsdevelopingembodiedcontroltechniquesfor sensor-driven behaviors are rare, and if considered, they deal only with one type of behavior; naturally, this is most often an obstacle avoidance behavior. There are only a few approaches devoted to the multimodal generation of several reactive behaviors. This book presents a pioneering approach to tackle this challenging pr- lem. Inspired by the obstacle avoidance and escape behaviors of cockroaches and scorpions, which here are understood as negative tropisms, and by the prey-capturing behavior of spiders, taken as a positive tropism, corresponding sensors and neural control modules are introduced in such a way that wa- ing machines can sense and react to environmental stimuli in an animal-like fashion.
Introduction
1(12)
Survey of Agent-Environment Interactions
1(7)
Aims and Objectives
8(3)
Organization of the Book
11(2)
Biologically Inspired Perception---Action Systems
13(18)
Senses and Behavior of Animals
13(9)
Obstacle Avoidance Behavior
15(4)
Prey Capture Behavior
19(3)
Morphologies of Walking Animals
22(4)
A Salamander
23(1)
A Cockroach
24(2)
Locomotion Control of Walking Animals
26(3)
Conclusion
29(2)
Neural Concepts and Modeling
31(16)
Neural Networks
31(6)
A Biological Neuron
32(1)
An Artificial Neuron
33(3)
Models of Artificial Neural Networks
36(1)
Discrete Dynamics of the Single Neuron
37(4)
Evolutionary Algorithm
41(4)
Conclusion
45(2)
Physical Sensors and Walking Machine Platforms
47(20)
Physical Sensors
47(8)
An Artificial Auditory-Tactile Sensor
47(2)
A Stereo Auditory Sensor
49(2)
Antenna-like Sensors
51(4)
Walking Machine Platforms
55(9)
The Four-Legged Walking Machine AMOS-WD02
57(4)
The Six-Legged Walking Machine AMOS-WD06
61(3)
Conclusion
64(3)
Artificial Perception---Action Systems
67(46)
Neural Preprocessing of Sensory Signals
67(22)
Auditory Signal Processing
68(14)
Preprocessing of a Tactile Signal
82(5)
Preprocessing of Antenna-like Sensor Data
87(2)
Neural Control of Walking Machines
89(10)
The Neural Oscillator Network
89(5)
The Velocity Regulating Network
94(4)
The Modular Neural Controller
98(1)
Behavior Control
99(12)
The Obstacle Avoidance Controller
99(4)
The Sound Tropism Controller
103(1)
The Behavior Fusion Controller
104(7)
Conclusion
111(2)
Performance of Artificial Perception---Action Systems
113(34)
Testing the Neural Preprocessing
113(13)
The Artificial Auditory-Tactile Sensor Data
113(5)
The Stereo Auditory Sensor Data
118(5)
The Antenna-like Sensor Data
123(3)
Implementation on the Walking Machines
126(19)
Obstacle Avoidance Behavior
128(7)
Sound Tropism
135(7)
Behavior Fusion
142(3)
Conclusion
145(2)
Conclusions
147(4)
Summary of Contributions
147(2)
Possible Future Work
149(2)
Description of the Reactive Walking Machines
151(14)
The AMOS-WD02
151(1)
The AMOS-WD06
152(2)
Mechanical Drawings of Servomotor Modules and the Walking Machines
154(11)
Symbols and Acronyms
165(2)
References 167(16)
Index 183