Yuying Liu
Papers
1
Total Citations
35
H-Index
1
About
Yuying Liu is a researcher at the forefront of human-robot interaction, with a particular focus on voice-controlled systems for real-world applications. Her most-cited work, "Voice Interaction Recognition Design in Real-Life Scenario Mobile Robot Applications" (2023, 35 citations), introduces a practical voice interactive robot system that enables users to control mobile service robots through spoken commands. By integrating a well-trained deep neural network for speech recognition, Liu’s design allows robots to execute assigned tasks seamlessly in everyday environments—without the need for complex hardware setups. This contribution addresses a critical gap in making robotics more accessible and intuitive for non-expert users. Liu’s work is notable for its emphasis on real-life deployment, moving beyond lab-based prototypes to tackle challenges like ambient noise and command variability. With growing interest in service robotics and smart assistants, her research is gaining traction among engineers and interaction designers alike. By bridging robust AI speech models with practical robotic platforms, Yuying Liu is helping shape a future where voice becomes a primary interface for human-robot collaboration.
Research Focus
Key Achievements
Top Papers
- 1