Our Contribution
APL researchers are advancing robotic perception capabilities by using artificial intelligence (AI) to equip autonomous agents with the capacity to make sense of unstructured environments and make plans like humans. The project, known as Full Scene Extraction, involves training robots to gather information about their surroundings to create contextual understanding of their environment. The desire is for autonomous agents to independently understand the space they’re in, plan potential paths, and execute sequential tasks accordingly. The technology has a range of potential applications—particularly for warfighters or first responders—in search and rescue, casualty extraction, building clearing, tree-line detection, or humanitarian relief and recovery.
