Papers
2
Total Citations
7
H-Index
2
About
Yumin Zhi is an emerging researcher specializing in autonomous robotics, simultaneous localization and mapping (SLAM), and multi-sensor fusion systems, with a particular focus on quadruped robot navigation in complex real-world environments. Zhi's work addresses one of robotics' most persistent challenges: enabling legged robots to perceive, map, and navigate dynamic surroundings with high accuracy and reliability. Their most notable contribution, SLI-SLAM, introduces a sophisticated fusion framework that integrates stereo cameras, LiDAR, and inertial measurement units (IMU) within a factor graph architecture, delivering robust autonomous navigation capabilities for quadruped platforms. Building on this foundation, Zhi's MSOT-Q system further advances the field by incorporating real-time object detection and tracking alongside map construction, significantly enhancing a robot's situational awareness. Together, these works have garnered 7 citations since their 2024 publication, a promising trajectory for research introduced so recently. Zhi's contributions are particularly relevant to applications in search and rescue, industrial inspection, and unstructured terrain exploration, where reliable multi-sensor perception is critical. As autonomous legged robotics continues to mature, Zhi's foundational work in sensor fusion and semantic mapping positions them as a researcher to watch closely in this rapidly evolving domain.
Research Focus
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Top Papers
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