Simiao Yang
Papers
1
Total Citations
7
H-Index
1
About
Simiao Yang is a leading researcher at the intersection of cognitive science and advanced manufacturing, with a primary focus on human-robot collaboration (HRC) in assembly. Her key research areas include cognitive interaction planning, embodied cognition modeling, and adaptive manufacturing systems. Yang’s most notable contribution is the development of a groundbreaking framework for cognitive interaction planning using Dynamic Field Theory (DFT), a well-established model for embodied cognition. This framework, detailed in her highly cited 2021 paper (7 citations), systematically divides assembly processes into manageable cognitive steps, enabling robots to anticipate and adapt to human actions in real time. By bridging the gap between theoretical cognitive models and practical industrial applications, Yang’s work has significantly advanced the safety, efficiency, and intuitive nature of human-robot teams. Her research has been recognized for its potential to transform standard assembly lines into flexible, intelligent workspaces, making her a rising authority in the field of cognitive robotics and human-centered automation.
Research Focus
Key Achievements
Top Papers
- 1