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Welcome to Todays tech.. This video is about Obstacle Avoidance and Path Planning Robot using Genetic Algorithm in MATLAB
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Theoretical Background:
What is the meaning of genetic algorithm?
In computer science and operations research, a genetic algorithm is a metaheuristic inspired by the process of natural selection that belongs to the larger class of evolutionary algorithms
The genetic algorithm is a method for solving both constrained and unconstrained optimization problems that is based on natural selection, the process that drives biological evolution. The genetic algorithm repeatedly modifies a population of individual solutions.

1. Obstacle Avoidance:
In robotics, obstacle avoidance is the task of satisfying some control objective subject to non-intersection or non-collision position constraints
2. Path Planning:
Motion planning, also path planning is a computational problem to find a sequence of valid configurations that moves the object from the source to destination. The term is used in computational geometry, computer animation, robotics and computer games

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