Pengcheng Wei
Papers
4
Total Citations
148
H-Index
4
About
Pengcheng Wei is a leading researcher in robotics and autonomous systems, with a primary focus on visual simultaneous localization and mapping (VSLAM), multi-sensor fusion, and intelligent navigation. His most impactful contribution is the development of DGS-SLAM, a fast and robust RGBD SLAM system that overcomes the traditional static world assumption by integrating geometric and semantic information—enabling reliable robot operation in dynamic, real-world environments. This work has garnered 72 citations, underscoring its significance in advancing autonomous navigation. Wei has also made notable strides in multi-sensor detection and control networks, leveraging parallel computing models to enhance robot target detection and recognition, as well as in hierarchical multiview registration of terrestrial laser scanning point clouds for precise 3D mapping. His research on computer intelligent algorithms and machine vision for automatic navigation further demonstrates his commitment to practical, real-time robotic solutions. With a portfolio of highly cited papers spanning from 2020 to 2022, Pengcheng Wei’s work is shaping the future of autonomous robotics, offering robust tools for robots to perceive, navigate, and interact with complex, changing environments.
Research Focus
Key Achievements
Top Papers
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