Max Robotics — Global Service Robot Directory + US Certification

About

Tingting Shen is a rising researcher at the intersection of soft robotics, intelligent sensing, and biomedical engineering. Her work focuses on developing high-performance flexible sensors and perception systems for next-generation robotic and healthcare applications. Shen’s most notable contribution is the development of “Hierarchical Crack Engineering-Enabled High-Linearity and Ultrasensitive Strain Sensors” (2025, 21 citations), which addresses the critical need for self-perception in electro-ionic actuators used in soft robotics. By overcoming the nonlinear dynamic response challenges of crack-based sensors, this work enables more accurate mapping of robotic movements, marking a significant step toward truly intelligent soft machines. Shen has also explored innovative applications of deep learning and 3D reconstruction for calorie detection in dishes (2024, 6 citations), demonstrating her versatility in merging computer vision with health monitoring. Additionally, her research on shape sensing for flexible robots (2024, 5 citations) introduces a reconstruction method with twisting measurement and compensation, enhancing the precision of flexible robotic systems. With a growing citation record and a clear focus on solving real-world challenges in sensing and robotics, Tingting Shen is establishing herself as a promising innovator in the field.