In 1996, IBM computer scientists developed a chess-playing computer named Deep Blue. Not only did people doubt that it would have the ability to beat a world champion, they found it to be ludicrous that it would be able to beat any average joe. The media was in for a shock when on May 11th, 1997 under regular timed situations, Deep Blue beat the world champion at the time, Garry Kasparov at a game of chess.
IBM's Deep Blue innovation has acted as the springboard for the basis of Robocup, and the notion of soccer-playing robots. Robocup's ultimate goal however is by the year 2050, to develop a team of fully autonomous humanoid robots that can win against the human world soccer
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Autonomous soccer-robots, similar to a human soccer-player, would require the ability to have awareness of their surroundings, make on the fly decisions, and carry out dexterous soccer-skills in order to achieve a common goal of scoring goals and preventing an opposition from scoring on oneself. Considering that the following agent is adapting to a current, changing environment, choosing the most efficient way in order to carry out a function, and performs based on intelligent deductions, the soccer robot is therefore classified as a learning agent. Furthermore, if the desired goal of creating autonomous robots to beat a human team, an intelligent, learning component would serve as quite necessary regarding the notions of strategizing and reacting and counteracting to opposing strategies and schemes. In current soccer robot models physical superiority and fluidity of movement are of greater importance, however, in future cases the strategic aspect of the game would play in as far more crucial to victory. While in present times, the learning element playing within these robots isn't of much significance, when the humanoids would begin to face human