Yingzhong Tian
Papers
48
Total Citations
1,786
H-Index
15
About
Yingzhong Tian is a robotics and sensing researcher whose work sits at the dynamic intersection of soft robotics, triboelectric nanogenerator (TENG) sensing, and intelligent human-machine interaction. His most influential contributions center on developing self-powered, flexible sensor systems that enable soft robotic platforms to perceive and respond to their environments with remarkable sophistication. His 2020 paper on TENG sensors for soft robotics—targeting digital twin applications—has garnered over 650 citations, reflecting the field's hunger for integrated sensing solutions in next-generation robotics. Building on this, his wearable TENG-based gait analysis system (366 citations) demonstrated the powerful potential of triboelectric technology for IoT-enabled healthcare and human identification. Beyond sensing, Tian has made notable strides in actuator design, pioneering origami-inspired pneumatic actuators, stiffness-tunable grippers, and multimodal autonomous robotic systems that edge closer to human-level dexterity. His earlier foundational work on continuum robot kinematics and biologically inspired robot design reflects a career built methodically from mechanical first principles toward sophisticated intelligent systems. With research spanning weld seam recognition, morphing structures, and modular soft robotics, Tian's cumulative body of work positions him as a versatile and forward-thinking contributor to the future of adaptive, autonomous robotic systems.
Research Focus
Key Achievements
Top Papers
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- 8Kinematic Analysis of Continuum Robot Consisted of Driven Flexible Rods28 citations · 2016
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- 10Modular Soft Robot with Origami Skin for Versatile Applications23 citations · 2023