In a study published in Robot Learning journal, researchers propose a new learning-based path planning framework that allows mobile robots to navigate safely and efficiently using a Transformer model.

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Abstract: This research sheds light on the path planning algorithm for robots using the rapidly-exploring random tree (RRT). The RRT algorithm builds one path by generating random nodes in the robot's ...

Developed Autonomous Robot Planning with RRT, RRT*, RRT*smart, and RRTconnect Algorithms, validated on 2D maps as well as 3D simulation of Turtlebot3 in Gazebo within a Custom Maze Environment.