![]() The resolution of the cropped-image frame is the fundamental parameter in detecting path lines.ĭC Motor has a lot of applications in the control system, robotics, industrial, and power system. ![]() The simulation result shows that the method is implemented properly, and the robot can follow a different type of path lines such as zigzag, dotted, and curved line. OpenCV and Python are utilized to design line detection systems and robot movements. The implementation of the robot is simulated using Webots simulator. This includes image preprocessing such as dilation, erosion, Gaussian filtering, contour search, and centerline definition to detect path lines and to determine the proper robot action. This paper proposed a method of image preprocessing along with its robot action for line-following robots. The camera installed on the line following robot aims to detect image-based lines and to navigate the robot to follow the path. Robotic vision is a robot that can obtain information through image processing by the camera. However, it is irrelevant, along with the development of autonomous vehicles and robotic vision. The most widely used sensors for the robots are photoelectric sensors. Line following robot is one of the popular robots commonly used for educational purposes. The results show that HP-GRU has a mean accuracy of 0.9857 and a mean loss of 0.0810, and it is comparable with other deep learning algorithms. The proposed HP-GRU model is used on a dataset of SCITOS G5 robots with 24 sensors mounted. It is an iterative method, which searches for the optimal configuration by discarding the least performing configurations on each iteration. To come around this problem, we used a hyperband algorithm for the selection of optimal parameters. Usually, hyper-parameters are selected through hit and trial, which does not guarantee an optimal solution. ![]() The selection of hyper-parameters of the GRU model is a complex optimization problem with local minima. GRU also consumes less memory and is computationally more efficient than LSTMs. GRU is popularly known for the time-series or sequence data, and it overcomes the vanishing gradient problem of RNN. The path also has to be a closed line.In this paper, we presented an autonomous control framework for the wall following robot using an optimally configured Gated Recurrent Unit (GRU) model with the hyperband algorithm. Solve the level by connecting all the color sources with each other. Shift and move the blocks and let the colors unroll through the path. Fill the whole grid and connect all the dots to master the level.Ī classic slide puzzle. The level is completed after every cell in the grid is filled.ĭraw traces between dots of the same color and create color lines. The number of traces per knot are limited and can only be drawn as straigt lines. Fill the grid by drawing traces on the board. Tired of Sudoku? Here's a simple alternative. Discover all the unique art pieces that unfold themselves. Loop puzzles about spinning and connecting cells to create infinite loops. Blocks shouldn't overlap and only be placed on the paths they fit into.įind a way Connect the numbers smartly in ascending order and draw puzzling one-line-mazes.Ĭonnect all the dots smartly and fill the grid to solve the level.įun level: Infinity. Drag and drop the blocks over the board and cover all the dots. Draw a line from dot to dot and connect all the paths in 1 line.Ī classic Block Puzzle Game interpreted in a new way. Linedoku is a collection of the best thinking games all about lines - no internet games!Įnjoy colorful logic puzzles, such as pipes, one-line, maze games, connect dots, make infinite loops or link numbers - The perfect time killers!Ĭhallenge yourself, train your mind and become the puzzle king!.
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