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It is said that it will address simulations of the cerebellum and neural networks to accomplish biped robot leg and control leg swing in environments with obstacles, in multi output, non-linear systems. According to Miller, Glanz, & Kraft, the cerebellar mode articulation controller (CMAC) can serve as a substitute method to back propagation (Miller, Glanz, & Kraft, 1990). The method includes a footstep planning strategy that is based on the Q-learning concept for biped robot control in dynamical environments.
The effectiveness of major problem solving methods in control robot technology research is also of central focus. Predictable and unpredictable dynamic obstacles encountered in the system, such as memory usage, are discussed and a strategy to overcome these obstacles is presented. The empirical analysis includes identification of likely Cerebellum Model Articulation Controller (CMAC) problems in specific environments, inputs and outputs, and viable solutions. The aim of this research is to present a HCAQ-CMAC model that provides memory size and footstep planning solutions for the biped robot in a dynamic environment.
In 1921, science fiction writer Karel Capek of the Malé Vatonovice presented the world with the play Rostrum’s Universal Robots; the first known occurrence of the word ‘robot’ in world history (Legacy, 2011). The play debuted in Prague, Czechoslovakia, where the root term ‘robota’ translated to mean ‘forced labor’ (Farlex, 2013). In Capek’s production, and in his own perception, a ‘robot’ represented a slave, an artificial person, or at best, a silent partner - a source of output without the ability or desire to give intellectual input.
Capek’s perception was typical of 1920s Czechoslovakia, when hardcore industrialism, factory work, and war permeated the minds of Slavic societies. In the next decade, depictions of a robot had evolved from a factory worker to the monster, Frankenstein, portrayed by Boris Karloff in a 1935 film. (Karloff, 1935). During the same year, mathematician Alan Turing produced ‘the Universal Turing Machine’, which is considered one of the world’s first official computers. By 1945, he was convinced by his studies that computable operations could mimic mental functions performed by the human brain.
In 1950, Turing published Computing Machinery and Intelligence, which addressed the computability of his neural networks.
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