Papers

2

Total Citations

12

H-Index

2

About

Yating Yu is a pioneering researcher in the fields of pipeline robotics and assistive wearable technologies, with a focus on dynamic simulation and adaptive mechanical systems. Their major contributions include the development of a large-caliber self-propelled pipeline crawler, where they employed ADAMS-based dynamic simulation to analyze the complex force states of driving wheels during horizontal, climbing, and turning maneuvers—addressing a critical gap in theoretical analysis for in-pipe locomotion. This work, published in 2021, has garnered 9 citations, underscoring its relevance in robotics engineering. More recently, Yu has advanced rehabilitation robotics with the design of an adjustable rigid-soft wearable hand robot featuring a magnetorheological cable-driven mechanism for grasping assistance. This 2025 study, with 3 citations, tackles the trade-off between material comfort and anchor point stability in stroke rehabilitation, offering a novel solution to enhance user adaptability and control. Yu’s interdisciplinary approach—merging simulation, actuation, and human-centric design—positions them as a rising innovator in mechatronics and medical robotics, with potential to impact both industrial pipeline inspection and clinical hand therapy.

Research Focus

Key Achievements

2
H-Index
2
Papers
12
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Dynamic Simulation Analysis and Experiment of Large-caliber Self-propelled Pipeline Crawler Based on ADAMS
9 citations · 2021
📈 Most Prolific Year: 2021 (1 Papers)
🤝 Key Collaborators: 12
🏛 Institutions: University of Electronic Science and Technology of China, Southeast University

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago