Motion planning of sensorless differential drive mobile robot using clothoid
Mobile robots have the ability to navigate safely and cost-effectively from one location to another. In sensorless motion planning, the absence of sensor data poses challenges for continuous replanning to ensure that the robot follows the desired trajectory. Our research addresses this gap by leveraging computational methods for curve generation within the domain of Computer-Aided Geometric Design (CAGD). Specifically, we propose a clothoid-based, sensorless motion planning algorithm for differential drive mobile robots, assuming the known initial point, end point, a