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About

Jingjing Ji is a pioneering researcher at the intersection of soft robotics, haptics, and intelligent sensing, whose work is redefining how robots perceive and interact with their environment. Her core research spans tactile sensing, continuum robotics, and bio-inspired actuation, with a particular focus on creating flexible, embodied systems that bridge the gap between machine and human-like dexterity. Ji’s most cited work introduces a two-mode six-DOF spherical motor for haptic applications (26 citations), laying the groundwork for immersive motion feedback. She has also authored a comprehensive review on anatomy-based ankle-foot robotics for stroke rehabilitation (18 citations), highlighting her commitment to translational, human-centered design. Her recent innovations are particularly striking: the *Flexible Electronic Robot* (2025) achieves robust environmental interaction through AI-embodied, multi-modal sensing and self-learning, while the *GelRoller* tactile sensor (10 citations) enables large surface reconstruction via self-supervised photometric stereo. Further contributions include model-based 3D contact geometry perception (9 citations) and slip detection using spatio-temporal attention networks (4 citations). Ji’s work is not only highly cited but also deeply impactful, advancing the frontiers of soft, perceptive, and adaptive robotics for real-world applications.