Neuromorphic and Brain-Based Robots
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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Part III Brainbased robots architectures and approaches
Part IV Philosophical and theoretical considerations
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