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- W2184544034 abstract "One of the most difficult problems in robotics appl ications is developing robust autonomous motion planning. In order to build a truly autonomous mobile robot, it must h ave the capability to efficiently and reliably plan a route from start to the goal point without colliding with obstacles in between. So Set up a proper Path is an important issue as it allows a robot to get from start point to goal poin t. In this study, we attempts to solve path planning problem f or mobile robot based on potential field method that r elies on the use of Laplace's Equation to constrain the gene ration of a potential function over regions of the configurat ion space of a mobile robot. AI would be a recreation of the human thought process a man-made machine with our intellectual abilities. This would include the ability to learn just about anything, the ability to reason, the ability to use language and the ability to formulate original ideas executi on is complicated. First, the AI robot or computer gather s facts about a situation through sensors or human input. T he computer compares this information to stored data a nd decides what the information signifies." @default.
- W2184544034 created "2016-06-24" @default.
- W2184544034 creator A5026368414 @default.
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- W2184544034 date "2014-01-01" @default.
- W2184544034 modified "2023-09-27" @default.
- W2184544034 title "AnalytiPlanning of Robotic Motion u cal Planning of Robotic Motion u cal Planning of Robotic Motion u cal Planning of Robotic Motion using sing Laplacian Technique Laplacian Technique Laplacian Technique Laplacian Technique" @default.
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- W2184544034 hasPublicationYear "2014" @default.
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