Researchers at Duke University have introduced WildFusion, a framework that empowers robots to navigate complex outdoor environments through a combination of vision, vibration, and touch. Unlike conventional robots dependent on visual data, WildFusion allows machines to interact with their surroundings more like humans. This innovative approach aims to enhance robotic operations in unpredictable areas such as forests and disaster zones. Accepted for presentation at the ICRA 2025 conference, this development signifies a monumental advancement in robotic navigation and environmental mapping.
WildFusion opens a new chapter in robotic navigation and 3D mapping, helping robots to operate confidently in unstructured, unpredictable environments like forests.
Typical robots rely heavily on vision or LiDAR, which often falter without clear paths or predictable landmarks, limiting their effectiveness.
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