Rukun Li

Papers

Total Citations

H-Index

About

Rukun Li is an emerging researcher specializing in autonomous robotics, simultaneous localization and mapping (SLAM), and multi-sensor fusion systems, with a particular focus on advancing the navigational capabilities of quadruped robots. Li's most notable contribution, SLI-SLAM, introduces a sophisticated framework that seamlessly integrates stereo cameras, LiDAR, and inertial measurement units (IMU) within a factor graph architecture, enabling quadruped robots to navigate and map complex, real-world environments with remarkable precision. This work has already garnered 5 citations since its 2024 publication, reflecting rapid interest from the robotics community. Building on this foundation, Li's MSOT-Q system further pushes the boundaries of autonomous perception by incorporating object detection and tracking alongside map-building capabilities, offering quadruped robots a richer understanding of their surroundings. Together, these contributions address critical challenges in robot mobility, environmental awareness, and sensor redundancy — areas of growing importance as unmanned robotic systems are deployed in increasingly demanding scenarios. Though early in their career, Li's focused and technically rigorous work positions them as a promising voice in the field of intelligent autonomous systems and field robotics.