Page 188 - Robots Androids and Animatrons : 12 Incredible Projects You Can Build
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Another contemporary of Walter, Hans Berger, invented the elec-
                                       troencephalograph (EEG) machine. When Walter visited Berger’s
                                       laboratory,  he  saw  refinements  he  could  make  to  Berger’s  EEG
                                       machine. When he did so, the sensitivity of the EEG machine was
                                       improved, and new EEG rhythms below 10 hertz (Hz) could now
                                       be observed in the human brain.
                                       Walter’s studies of the human brain led him to study the neural
                                       network structures in the brain. The vast complexities of the bio-
                                       logical  networks  were  too  overwhelming  to  map  accurately  or
                                       replicate. Soon he began working with individual neurons and the
                                       electrical  equivalent  of  a  biological  neuron.  He  wondered  what
                                       type of behavior could be created using just a few neurons.
                                       To answer this question, in 1948 Walter built a three-wheeled turtle-
                                       like mobile robot. The mobile robot measured 12″ high and about
                                       18″ long. What is fascinating about this robot is that it used just two
                                       electronic neurons but exhibited interesting and complex behaviors.
                                       The first two robots were affectionately named Elmer and Elsie
                                       (ELectroMEchanical Robot, Light Sensitive). Walter later renamed
                                       the style of robots Machina Speculatrix after observing the complex
                                       behavior they exhibited.
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                                       Remember, in the 1940s the transistor had not yet been invented,
                                       so the electronic neurons for the robot were made using vacuum
                                       tubes.  Vacuum  tubes  consume  considerably  more  power  than
                                       semiconductors, and so the original robot was fitted with a rather
                                       large rechargeable battery.

                                       The robot’s reflex or nervous system consisted of two sensors con-
                                       nected to two neurons. One sensor was a light-sensitive resistor
                                       and the other sensor was a bump switch connected to the robot’s
                                       outer housing.
                                       The three wheels of the robot were in a triangular configuration.
                                       The front wheel had a motorized steering assembly that could
                                       rotate a full 360 degrees in one direction. In addition, the front
                                       wheel  also  contained  a  drive  motor  for  propulsion.  Since  the
                                       steering could continually rotate a full 360 degrees, the drive
                                       motor’s electric power came through slip rings mounted on the
                                       wheel’s shaft.

                                       The  photosensitive  resistor  was  mounted  onto  the  shaft  of  the
                                       front wheel steering-drive assembly. This ensured that the photo-
                                       sensitive resistor was always facing in the direction that the robot
                                       was moving.

                                                       Team LRN
                                                   Behavioral-based robotics, neural networks, nervous nets, and subsumption architecture
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