Ground Robot

Ground robots are autonomous mobile platforms designed for various tasks, with current research heavily focused on improving navigation capabilities in complex and dynamic environments. This involves developing advanced algorithms, such as model predictive control integrated with large language models for personalized navigation, and employing techniques like visual odometry and neural networks to enhance pose estimation, even with limited sensor data. Significant efforts are also dedicated to improving human-robot teaming through augmented reality and gaze-based control, as well as optimizing multi-robot coordination for efficient coverage and exploration, particularly in collaborative air-ground systems. These advancements are crucial for expanding the applications of ground robots in diverse fields, including logistics, healthcare, agriculture, and disaster response.