Lanshen Guo

Papers

Total Citations

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About

Lanshen Guo is a robotics researcher whose work centers on mobile robot perception, intelligent navigation, and omni-directional locomotion systems. In their most cited paper, "Environmental Perception of Mobile Robot" (2006, 13 citations), Guo developed a multi-sensor data fusion system that enables autonomous mobile robots to identify obstacles in real time during travel, significantly advancing the robot's ability to operate intelligently in unknown environments. This foundational work in environmental perception laid the groundwork for more adaptive and self-determined robotic behavior. Building on this, Guo's later research in "Structure Design and Kinematics Analysis of Omni-Directional Mobile Platform" (2018, 3 citations) applied TRIZ innovation methodology to design a Mecanum-wheeled platform capable of precise positioning and omni-directional movement in confined spaces. This work addresses critical challenges in robotic mobility for industrial and service applications. Guo's contributions bridge perception and locomotion, offering practical solutions for robots that must navigate complex, dynamic environments with both awareness and agility. Their research continues to inform the development of more intelligent, versatile mobile robotic systems.