Mobile Robotic Platform

Mobile robotic platforms are autonomous systems designed for navigation and manipulation in diverse environments, aiming to automate tasks ranging from industrial inspection to planetary exploration and environmental monitoring. Current research emphasizes improving localization and mapping accuracy, particularly in challenging terrains like granular surfaces or confined spaces, often employing advanced sensor fusion techniques (e.g., LiDAR, RGB-D cameras, IMUs) and algorithms such as simultaneous localization and mapping (SLAM) and model predictive control (MPC) with neural network enhancements for obstacle avoidance. These advancements are driving significant impact across various sectors, enabling safer and more efficient operations in hazardous or inaccessible locations, and providing valuable data collection capabilities for scientific research.