Zheping Shen
Papers
1
Total Citations
3
H-Index
1
About
Zheping Shen is a researcher focused on human-robot interaction, assistive robotics, and sensor-based control systems. Their most significant contribution lies in advancing human body tracking for medical care service robots, particularly through the integration of depth-sensing technologies. In their notable 2018 work, Shen developed a Kinect-based system that enables robots to follow and assist human targets in real time. This research introduced an improved Gaussian filter algorithm for denoising depth images and applied Kalman filtering to predict human movement, enhancing the reliability and responsiveness of robotic assistance in healthcare settings. While the direct citation count for this work is modest (3 citations), it represents a foundational step in practical, low-cost robotic solutions for elderly care and medical environments. Shen’s work bridges computer vision, signal processing, and robotics, demonstrating how accessible sensors like Kinect can be repurposed for critical care applications. Their research contributes to the growing field of socially assistive robotics, where safe and intuitive human-robot interaction is paramount. For students and researchers in robotics and human-computer interaction, Shen’s approach offers a practical template for developing cost-effective, real-time tracking systems that prioritize user safety and autonomy in medical contexts.
Research Focus
Key Achievements
Top Papers
- 1