Xipeng Wang

University of Michigan–Ann Arbor, Nanjing University of Aeronautics and Astronautics

Papers

Total Citations

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About

Xipeng Wang is a researcher whose work bridges the critical gap between autonomous robotics and bioinspired materials engineering. In robotics, Wang is best known for developing FLAG (Feature-based Localization between Air and Ground), a method that enables robots to compute global position updates in GPS-denied environments—a fundamental challenge for drones and ground vehicles operating in cluttered or indoor settings. This work, cited 25 times, addresses the drift accumulation that plagues dead-reckoning systems. Wang also contributed to incremental SLAM with ApriISAM (2018, 11 citations), advancing real-time mapping by comparing the computational trade-offs of iSAM versus iSAM2. More recently, Wang has pioneered biomimetic microstructures for high-temperature applications. A 2023 study (7 citations) examined how vibrations affect the stability of bio-inspired attachments, while a 2024 paper (3 citations) introduced a locust-inspired microstructure that achieves both anti-slip and anti-adhesion properties for handling brittle materials like silicon wafers at high temperatures—a breakthrough for semiconductor manufacturing. This dual expertise in autonomous navigation and bioinspired surface engineering marks Wang as a versatile innovator solving real-world challenges from underground robotics to industrial handling.