Sustainable Energy Solution for Mobile Robotics: Modeling and Power Management

Robotics is increasingly addressing inefficiencies in diverse applications, including healthcare, mining, and defense. This research focuses on energy optimization for a Two-Wheel Mobile Robot (TWMR) using a novel framework that analyzes component-level power consumption and evaluates battery performance. Simulations conducted in Gazebo Classic 11, powered by ROS (Noetic), assessed the TWMR's battery discharge rates across different configurations. Results identified the LiDAR sensor as the primary power consumer, with a 300mAh battery significantly extending operational duration (65.83 seconds) compared to a 100mAh battery (21.41 seconds). The study also examined how component integration impacts energy usage, providing valuable insights for future robotic system designs. These findings highlight the critical role of battery size in optimizing energy efficiency and ensuring the prolonged functionality of robotic systems in practical applications.