Shanshan Chen

Zhejiang University of Technology, United States Department of Energy

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About

Shanshan Chen’s research lies at the intersection of robotics, computer vision, and advanced sensor design, with a focus on enabling intelligent systems to perceive and interact with their environments. Her early work established foundational methods for mobile robot navigation, including camera calibration using Tsai’s technique (7 citations) and depth estimation via Birchfield’s algorithm (6 citations)—both critical for stereo vision in unknown terrains. Chen later advanced precision robotics with a trajectory tracking and control algorithm for parallel robots (4 citations), addressing high-frequency chattering to improve response time and accuracy. Most notably, her 2025 paper on anisotropic tactile sensors (2 citations) marks a significant leap in human-machine interaction, proposing constructive designs that overcome the limitations of isotropic materials. This work has emerging applications in health monitoring, movement detection, and intelligent robotics, showcasing Chen’s ability to bridge theoretical algorithms with practical, real-world sensing challenges. Her contributions demonstrate a sustained commitment to enhancing robotic autonomy and tactile perception, making her a notable figure in the evolution of interactive robotic systems.