AN METHOD TO STOP DIFFERENTIAL MODELS OF FALLING OVER
Tiago Barretto Sant’Anna, Rebeca Tourinho Lima · 2023
Robotics is a rapidly growing field with a profound impact on various industries, aiming to design machines that assist humans in practical tasks. Autonomous navigation, a critical aspect of robotics, enables robots to move and operate independently without human intervention. However, navigating different environments presents numerous challenges, including the risk of robots tipping over, leading to damage or potential harm to humans. This article proposes a solution to prevent tipping in differential robots during autonomous navigation. The solution employs behavior trees, a computationally efficient approach, integrated into the robot's navigation system. By continuously monitoring data from an IMU sensor, the plugin effectively detects oscillatory movements and takes corrective actions, ensuring stable and safe robot operation.