Taiyuan University of Technology
🇨🇳 CN
Papers
162
Total Citations
2,010
H-Index
24
Researchers
348
About
Taiyuan University of Technology (TUT) has established itself as a dynamic research institution with a broad and forward-looking portfolio spanning robotics, advanced manufacturing, flexible electronics, and intelligent systems. Situated in China's Shanxi Province, TUT bridges industrial heritage with cutting-edge technological innovation, producing research that addresses real-world engineering challenges with measurable global impact. At the heart of TUT's robotics and automation research is a strong focus on motion planning, human-robot interaction, and intelligent control. Landmark contributions include high-order polynomial trajectory planning for industrial robots, obstacle avoidance algorithms for surgical collaborative arms, and tunable stiffness mechanisms for safe human-robot collaboration — work that collectively reflects a commitment to making robots smarter, safer, and more adaptable across manufacturing, medical, and domestic environments. The institution has also made significant strides in swarm robotics and digital twin-driven control frameworks, particularly through novel Human-Cyber-Physical System architectures that blur the boundaries between virtual and physical operation. TUT's flexible electronics and sensing research represents another area of genuine distinction. Researchers have pioneered liquid metal-based strain sensors, 3D-printed electronic skins, and hydrogel-based self-powered e-skins capable of dual-mode temperature and strain detection — technologies with profound implications for soft robotics, prosthetics, and wearable health monitoring. Their fully 3D-printed wearable tactile sensing arrays for robot hands have attracted substantial international attention, accumulating hundreds of citations across the field. Complementing these efforts, TUT researchers have advanced photocurable additive manufacturing and coal mine safety inspection robotics, demonstrating the institution's ability to address both frontier science and critical industrial applications. With a growing citation profile and diverse interdisciplinary output, TUT presents compelling opportunities for prospective students and collaborators seeking impactful, application-driven research partnerships.
Research Focus
Key Achievements
Top Papers
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- 6Multi-objective region reaching control for a swarm of robots52 citations · 2019
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Faculty & Researchers
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