Yixiao Liu

Papers

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About

Yixiao Liu is a robotics researcher whose work centers on autonomous navigation, traversability estimation, and field robotics. His major contribution is WayFAST (Waypoint Free Autonomous Systems for Traversability), a self-supervised learning framework that enables wheeled mobile robots to predict safe, traversable paths in challenging outdoor environments. By combining RGB and depth data with real-world navigation experience, WayFAST allows robots to learn terrain properties autonomously, without requiring manual labels. This approach significantly improves robot mobility on uneven or slippery terrain, addressing a critical bottleneck in field robotics. Liu’s most cited paper, "WayFAST: Navigation With Predictive Traversability in the Field" (2022), has garnered 62 citations, reflecting its impact on the autonomous navigation community. His work bridges perception, learning, and control, offering practical solutions for robots operating in unstructured environments. Liu’s research is particularly valuable for applications in agriculture, search-and-rescue, and planetary exploration, where reliable off-road navigation is essential.