Papers
1
Total Citations
9
H-Index
1
About
Chen Ji is an emerging researcher specializing in robotics perception and autonomous systems, with a particular focus on Simultaneous Localization and Mapping (SLAM) for intelligent mobile robots. His most notable work, "SCE-SLAM," represents a significant contribution to the field of dynamic scene understanding, addressing one of the fundamental challenges in SLAM research: the assumption of static environments. By developing a real-time semantic RGB-D SLAM system that leverages spatial coordinate error analysis, Chen Ji pushed the boundaries of how robots perceive and navigate unpredictable, real-world environments — a critical step toward practical autonomous deployment. This work, published in 2023 and already accumulating 9 citations in a short period, demonstrates the relevance and timeliness of his research within the robotics and computer vision communities. His integration of semantic understanding with geometric mapping reflects a broader trend toward combining deep learning with classical robotics frameworks. For students and researchers working on autonomous navigation, dynamic scene reconstruction, or robot perception, Chen Ji's contributions offer valuable insights into building more robust and adaptive SLAM systems suited for complex, real-world conditions.
Research Focus
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Top Papers
- 1