Shuaishuai Li

Papers

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About

Shuaishuai Li is a researcher at the forefront of robotics and advanced manufacturing, whose work bridges autonomous navigation and material science. His primary research areas include Simultaneous Localization and Mapping (SLAM) technology for mobile robots and high-performance material-extrusion additive manufacturing. Li’s major contribution lies in developing integrated path planning systems that enable unmanned vehicles to autonomously explore unknown environments, a critical advancement for real-world deployment of mobile robots. His work on SLAM-based navigation addresses the fundamental challenge of localization and map construction, providing a robust framework for autonomous decision-making in dynamic settings. In parallel, Li has pioneered a novel theory and methodology for material-extrusion (MEX) additive manufacturing, guided by the principle of “force-flow.” This approach directly tackles the persistent issue of inter-layer and inter-filament anisotropy, which has long limited the mechanical performance of 3D-printed parts. By designing and controlling the deposition process with force-flow considerations, Li’s work enables the fabrication of high-strength, durable components, pushing the boundaries of what is achievable with MEX technology. While his most-cited papers each have 2 citations, these foundational contributions are gaining traction as the fields of autonomous robotics and additive manufacturing converge. Li’s research is particularly notable for its practical, systems-level thinking, offering solutions that are both theoretically sound and immediately applicable to real-world engineering challenges.