Tian Tang

Chongqing Institute of Green and Intelligent Technology

Papers

Total Citations

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About

Tian Tang is a pioneering researcher in the field of tactile sensing and human-robot interaction, with a focus on developing intelligent, skin-like interfaces for robotic systems. Their most notable contribution is the creation of a leather-based printed tactile sensor array for robotic interactive skin, a groundbreaking work that has already garnered 14 citations since its 2024 publication. This innovation addresses the critical need for flexible, durable, and highly sensitive tactile sensors that can mimic human touch, enabling robots to interact more naturally with their environment. Tang has also advanced the recognition of similar objects through a multibranch fusion method based on a smart tactile glove, tackling the challenge of distinguishing objects with nearly identical physical properties—such as material, shape, and elasticity—where traditional single-branch tactile recognition falls short. By integrating sensor design with machine learning, Tang’s work enhances robotic dexterity and haptic feedback, with applications ranging from prosthetics to industrial automation. Their research, though early in its impact, promises to reshape how robots perceive and handle objects, marking Tang as an emerging leader in tactile sensing technology.