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The project builds a comprehensive robotic system capable of autonomous navigation. This includes designing a feedback controller to regulate motor speed and a velocity-based movement controller, implementing 2D mapping using Lidar for simultaneous localization and mapping (SLAM), and constructing a path planner for effective navigation.
This C program implements the A* algorithm for finding the shortest path in a 2D array. The program randomly generates a maze by setting some cells as walls, and sets a starting and an ending point. It then applies the A* algorithm to find the shortest path from the starting point to the ending point, and prints the path in the maze.
The Firebird v robot being used as a slave robot for pick and place tasks, along with traversing a detected path, and a PC with a camera serving as the master, handling arena image acquisition, image processing, obstacle detection, object detection, path planning, and commanding the slave robot.
This project, coded in C, calculates the best route between two electric charging stations with the desired electric car. It contains a gtk interface displaying the path to be taken. (import from gitlab.telecomnancy.univ-lorraine)