Yangting Chen
Papers
1
Total Citations
59
H-Index
1
About
Yangting Chen is a leading researcher at the intersection of robotics, artificial intelligence, and the Internet of Robotic Things (IoRT), with a primary focus on enabling intelligent, autonomous systems for smart city environments. Her most influential work, "Analyzing the robotic behavior in a smart city with deep enforcement and imitation learning using IoRT" (2019), has garnered 59 citations and stands as a cornerstone in the field. In this study, Chen pioneered a novel framework that combines deep reinforcement learning with imitation learning to train robots to navigate complex urban settings, optimizing their decision-making for tasks like traffic management and public safety. By integrating IoRT—a network of interconnected sensors and actuators—she demonstrated how robots can learn from both environmental feedback and human demonstrations, significantly improving their adaptability and efficiency. This contribution has been widely recognized for bridging the gap between theoretical AI models and practical, real-world deployment in smart cities. Chen’s work not only advances robotic autonomy but also provides a scalable blueprint for future urban automation, making her a key figure in the ongoing evolution of intelligent infrastructure.
Research Focus
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Top Papers
- 1