Papers
2
Total Citations
18
H-Index
2
About
Ruoxi Wang is a researcher at the forefront of robotics and artificial intelligence, with key contributions spanning surgical robotics and autonomous navigation systems. In their pioneering work on Robot-Assisted Minimally Invasive Surgery (RAMIS), Wang developed a real-time super-resolution enhancement framework that addresses a critical challenge in laparoscopic procedures: the instability caused by frequent camera adjustments. By computationally enhancing surgical views, this work, which has garnered 12 citations, promises to reduce the need for manual camera assistance and improve surgical precision. Wang has also made significant strides in autonomous service robotics, conducting a comparative analysis of path-planning algorithms—specifically the Artificial Potential Field and Breadth-First Search methods—for food delivery robots. This 2023 study, with 6 citations, provides a systematic evaluation of collision avoidance and route optimization in dynamic, cluttered environments like restaurants. Wang’s research demonstrates a dual commitment to advancing both high-stakes medical technologies and practical, everyday AI applications, bridging the gap between complex algorithmic theory and real-world deployment. Their work continues to influence how robots perceive and navigate their environments, from the operating room to the dining room.
Research Focus
Key Achievements
Top Papers
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