Air Ground Robot

Air-ground robots (AGRs) combine aerial and ground locomotion for enhanced mobility and versatility in challenging environments. Current research focuses on improving navigation in cluttered or dynamic settings, employing lightweight semantic scene completion networks and efficient path planning algorithms like kinodynamic A* search to optimize energy consumption and success rates. These advancements are driven by the need for robust and efficient operation in diverse applications such as surveillance, disaster response, and exploration, impacting both robotics and related fields like computer vision and control systems. Furthermore, research is exploring novel robot designs, including compact hybrid vehicles and multi-modal locomotion strategies that seamlessly integrate walking and flying capabilities.