Yibo Wang

Hong Kong Polytechnic University, Peking University

Papers

Total Citations

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About

Yibo Wang is a robotics and computational design researcher whose work bridges real-time perception and structural mechanics. His primary research areas include LiDAR-based simultaneous localization and mapping (SLAM), dense 3D reconstruction, and origami-inspired engineering. Wang’s most significant contribution is **SLAMesh**, a pioneering system that replaces traditional point-cloud maps with real-time mesh reconstruction during LiDAR SLAM. This innovation addresses a critical limitation in robotics: while point clouds appear dense to human eyes, they become sparse under zoom, hindering map-based navigation. By leveraging the low memory cost and geometric continuity of meshes, SLAMesh enables robots to build dense, scalable maps on the fly—a breakthrough for autonomous navigation in complex environments. The work has garnered **35 citations** since its 2023 publication, reflecting its immediate impact on the robotics community. Wang has also explored the shape optimization of non-rigid origami structures, uncovering how geometric tuning can induce bistability—a principle with applications in deployable mechanisms and soft robotics. His dual focus on real-time robotic perception and adaptive structures positions him at the forefront of creating machines that both understand and physically adapt to their surroundings.