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Online Introduction to Personal Robots

Thus far, there are not very many personal robots available in the consumer market. However, it looks like this could change dramatically in the next five years - as next generation robot designs move from research laboratories to consumer distribution, production prices drop and robotic capabilities expand. A "Neurobot" is a robot whose control function is guided by adaptive, evolutionary learning processes using an engineered neural network or integrating with a biological neural network. Adaptive neural evolution is prime to learning for both organic and inorganic neural networks. Neural networks begin as a flexible, highly-randomized array of densely inter-connected signal processing neural units. Interaction between the neural network and its ecology alters the relative strength and boom of inter-connections and nodes. Connections that are confirmed by subsequent environmental interactions are reinforced and grow. Connections that are not confirmed are weakened and atrophy. This creates an adaptive loop between neural increase and natural realities. Humans learn concerning their surroundings through their senses of sight, hearing, feel, taste and smell. Robots will generally also be equipped with sensory inputs to learn related to their biosphere. These input media will generally include: sight (e.g. design and gesture recognition, motion recognition, EM signals above and below the visible spectrum); sound (e.g. speech recognition, sonar and radar); handle (haptic sensors, tactile sensors, pressure and temperature monitors); taste (chemical sensors) and smell. Efforts to produce robots that look and function like humans are providing insights into how the human body and brain function. As scientists strive to make robots that will generally move over rough terrains and climb obstacles, they gain greater understanding of how the human body performs these functions. This knowledge can assist in the restoration of impaired functioning due to injury and illness. It is additionally spawning innovative generations of neuroprosthetic machines that translate impulses from the human nervous system to action of a bionic limb. As analysts work with virtual neural networks, they develop ways to superior prototype and understand human thought. Human gestures will generally be recognized by a calculator through the use of a device attached to the human or through processing of visual likenesses alone by a calculator. Although both innovations facilitate recognition of human gestures, attached devices will generally be thought of as a subset of touch-based conversation rather than sight-based conversation. The core of gesture recognition is the visual processing and 2-or-3-dimensional modeling of the pattern and movement of the human body (e.g. hand, arm, face, lips, or entire body). This may draw heavily from the subjects of human anatomy, kinesiology, and human optical processing. Due to the enormous potential for sight-based human-to-computer messaging, there will probable be a dramatic increase in gesture recognition software and related products during the coming years. Click on images for info about biotech/neurotech T-shirts: Questions and suggestions concerning the site RobotsRobotsRobots.com may be sent to: RobotsRobotsRobots.com © 2006 by RobotsRobotsRobots.com