Jiang Tian

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About

Jiang Tian is a researcher whose work lies at the intersection of robotics, tactile sensing, and deformable object manipulation. His key research areas include surface reconstruction from tactile data and the modeling of deformable shells in robotic grasping. Tian’s major contributions center on enabling robots to perceive and interact with complex, non-rigid objects. In his most-cited work, “Surface Patch Reconstruction From ‘One-Dimensional’ Tactile Data” (2009, 27 citations), he pioneered a method to reconstruct unknown curved surfaces from tactile data points along three concurrent curves, using the Darboux frame to estimate surface geometry—a crucial step for dexterous manipulation. He further advanced the field by modeling deformations of general parametric shells grasped by a robot hand (2010, 19 citations), addressing how applied forces alter contact wrenches due to changing shape and normals. His earlier work (2009, 7 citations) extended classical nonlinear thin-shell theory to arbitrary parametric surfaces, enabling large deformation modeling. Together, these contributions provide foundational tools for designing manipulation strategies that account for object compliance, with direct applications in robotic hands and haptic interfaces. Tian’s research remains highly relevant for engineers developing robots that must handle soft or delicate objects.