Classification of Robot Obstacle Avoidance Technology - Epson Robot

1. Robot obstacle avoidance algorithm based on genetic algorithm:

Genetic algorithm is a search algorithm used to solve the optimization of * in accounting mathematics, and it is a kind of evolutionary algorithm. The primary advantage is that the group method is used to find multiple clues in parallel in the policy function space, and it will not fall into some minima points; It only needs the value of the feasible solution policy function, and no other information is required, and there is no requirement for the continuity and differentiability of the policy function, which is easy to use; The probabilistic method is used for the selection and occurrence of solutions, so it has strong adaptability and robustness.

Classification of Robot Obstacle Avoidance Technology - Epson Robot

Classification of Robot Obstacle Avoidance Technology - Epson Robot

2. Robot obstacle avoidance method based on neural network algorithm:

Neural network is a mathematical model or accounting model that imitates the structure and function of biological neural networks, and is an adaptive system. The traditional neural network path planning method is often to establish a neural network model about the robot's walking path from the initial orientation to the direction direction, the model input is the sensor information and the movement direction of the robot in the previous direction or the previous direction, and the movement direction of the robot in the next direction or the next direction is output after the model exercise. The robot obstacle avoidance algorithm based on the dynamic neural network can be established, and the dynamic neural network can automatically adjust its structure according to the complexity of the robot's environmental state, and realize the mapping relationship between the state of the robot and its obstacle avoidance action in real time, which can effectively reduce the computing pressure of the robot.

3. Based on the robot obstacle avoidance algorithm with ambiguous control

Ambiguous manipulation is a kind of manipulation method that applies ambiguous set theory to carry out corresponding ambiguous logical reasoning through human experience and decision-making, and uses ambiguous language to describe the entire time-varying manipulation process.

Through people's experiences and decisions, they make corresponding vague logical reasoning, and use ambiguous language to describe the entire time-varying manipulation process.

With the development of computer skills, sensor skills, and artificial intelligence, the obstacle avoidance and autonomous navigation skills of mobile machines have achieved fruitful research results, and through the mutual integration between traditional algorithms, intelligent algorithms and intelligent algorithms, it will be the key points of future research to overcome the defects of a single algorithm and enhance the applicability of the whole.

We have reason to believe that the development of robot obstacle avoidance skills will usher in a new breakthrough.

Classification of Robot Obstacle Avoidance Technology - Epson Robot

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