Dingran Dong

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About

Dingran Dong is a pioneering researcher in soft robotics and continuum manipulation, with a focus on the automated deformation of soft objects in constrained environments. Her most-cited work, "Automated 3-D Deformation of a Soft Object Using a Continuum Robot" (2020, 31 citations), introduces a novel approach where a tendon-driven continuum robot adapts its own body shape to precisely deform a soft object. To overcome the challenges of modeling complex, nonlinear interactions, Dong developed a dynamic estimator (DE) that approximates the Jacobian matrix linking actuator inputs to object deformation—enabling real-time, model-free control. This contribution bridges the gap between continuum robot kinematics and soft object manipulation, offering a foundation for applications in medical robotics, minimally invasive surgery, and industrial handling of delicate materials. Dong’s work is notable for its integration of adaptive estimation techniques with soft robotic systems, advancing the field toward safer, more versatile human-robot interaction. With growing recognition in the robotics community, her research continues to inspire new methods for compliant, shape-adaptive automation.