Neuromorphic and Brain-Based RobotsJeffrey L. Krichmar, Hiroaki Wagatsuma Cambridge University Press, 1 sept. 2011 Neuromorphic and brain-based robotics have enormous potential for furthering our understanding of the brain. By embodying models of the brain on robotic platforms, researchers can investigate the roots of biological intelligence and work towards the development of truly intelligent machines. This book provides a broad introduction to this groundbreaking area for researchers from a wide range of fields, from engineering to neuroscience. Case studies explore how robots are being used in current research, including a whisker system that allows a robot to sense its environment and neurally inspired navigation systems that show impressive mapping results. Looking to the future, several chapters consider the development of cognitive, or even conscious robots that display the adaptability and intelligence of biological organisms. Finally, the ethical implications of intelligent robots are explored, from morality and Asimov's three laws to the question of whether robots have rights. |
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Page 11
... sensory information through both haptics and vision. The haptic and visual information obtained through such exploration is, in turn, key for realizing dexterous manipulation. Reproducing such codevelopment of sensing and adaptive ...
... sensory information through both haptics and vision. The haptic and visual information obtained through such exploration is, in turn, key for realizing dexterous manipulation. Reproducing such codevelopment of sensing and adaptive ...
Page 12
... sensory stimuli. We assume that our hands have such morphology to facillitate sensory stimulation, with compliant skin, distributed receptors, underactuated fingers, and carpal structure. Figure 2.1 2.2.2 2.2.3 Musculoskeletal structure ...
... sensory stimuli. We assume that our hands have such morphology to facillitate sensory stimulation, with compliant skin, distributed receptors, underactuated fingers, and carpal structure. Figure 2.1 2.2.2 2.2.3 Musculoskeletal structure ...
Page 17
... repetitive grasping by hand morphology. (a). (a) (b) (c) (d) (e) Classifying objects based on haptic sensory information Figure 2.10 Photograph. Robust haptic recognition by a robot hand 17 2.3.1 Repetitive grasping strategy.
... repetitive grasping by hand morphology. (a). (a) (b) (c) (d) (e) Classifying objects based on haptic sensory information Figure 2.10 Photograph. Robust haptic recognition by a robot hand 17 2.3.1 Repetitive grasping strategy.
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... sensory information Figure 2.10 Photograph of the objects used in the experiment: a cube, a cylinder, a ball, and a bottle. Figure 2.11 Within-class variance and between-class variance. Figure 3.1 Macro and microvibrissae. Left inset ...
... sensory information Figure 2.10 Photograph of the objects used in the experiment: a cube, a cylinder, a ball, and a bottle. Figure 2.11 Within-class variance and between-class variance. Figure 3.1 Macro and microvibrissae. Left inset ...
Page 23
... sensory system provided by that animal's facial whiskers (vibrissae). Neurobiology shows us that the brain nuclei and circuits that process vibrissal touch signals, and that control the positioning and movement of the whiskers, form a ...
... sensory system provided by that animal's facial whiskers (vibrissae). Neurobiology shows us that the brain nuclei and circuits that process vibrissal touch signals, and that control the positioning and movement of the whiskers, form a ...
Table des matières
9 | |
Part III Brainbased robots architectures and approaches | 85 |
Part IV Philosophical and theoretical considerations | 215 |
Part V Ethical considerations | 321 |
Index | 362 |
Autres éditions - Tout afficher
Neuromorphic and Brain-Based Robots Jeffrey L. Krichmar,Hiroaki Wagatsuma Aucun aperçu disponible - 2020 |
Neuromorphic and Brain-Based Robots Jeffrey L. Krichmar,Hiroaki Wagatsuma Aucun aperçu disponible - 2011 |
Expressions et termes fréquents
action activity actuators agent algorithm animal approach architecture artificial Asada autistic autonomous autonomous mental development autonomous robots Barakova basal ganglia battery pack behavior biological body bottom-up brain regions Brain-Based Robots Brainbot cognitive complex computational conscious cortex cortical developmental robotics dopamine Doya dynamic Edelman embodied emotional environment ethics experience experimental exploration function goal grasping hippocampus human IEEE imitation input integration intelligence interaction internal rehearsal intrinsic motivation intrinsic reward Journal kernel Krichmar layer mechanisms memory military robots mirror neuron Mitchinson mobile robot moral motor movement navigation nervous system Neural Networks neuromorphic Neuromorphic and Brain-Based Neuroscience object Oudeyer parameters perception perform physical place cells platform pose cells prediction Proceedings ofthe programming proprioceptive RatSLAM reinforcement learning representation role SCRATCHbot sensorimotor sensory signals simulation social spatial structure studies task theory tion top-down vibrissae visual Wagatsuma whisker Whiskerbot whisking