Aili Wang

Harbin University of Science and Technology

Papers

Total Citations

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About

Aili Wang is a researcher at the forefront of intelligent medical robotics and assistive technologies, with a focus on integrating deep learning with real-world perception systems. Her most impactful work, "Semantic SLAM Based on Deep Learning in Endocavity Environment" (2022, 18 citations), addresses a critical challenge in minimally invasive surgery: the restricted field of view during laparoscopic procedures. By pioneering lumen simultaneous localization and mapping (SLAM) technology, Wang enables robots to reconstruct 3D environments from endoscopic image sequences, significantly enhancing surgical navigation and precision. She also advances human-centered robotics with her design of a multi-function smart wheelchair (2023, 5 citations), which adapts to aging populations by combining smooth motion control with environmental sensing. Most recently, Wang tackles multimodal perception in her 2025 study on a YOLOv11-based RGB-D fusion framework for object detection, improving accuracy under low light and occlusion. Her work bridges the gap between robotic autonomy and clinical needs, earning her recognition for practical, high-impact solutions. With a growing citation record, Wang is shaping the future of surgical robotics and assistive mobility.