Yuche Wu
Papers
1
Total Citations
35
H-Index
1
About
Yuche Wu is a researcher at the forefront of human-robot interaction, specializing in voice-controlled systems and their deployment in real-world environments. His 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 bridges the gap between laboratory prototypes and everyday usability. By equipping robots with a microphone and a deep neural network trained for robust speech recognition, Wu enables users to issue spoken commands that the robot can reliably execute in dynamic, noisy settings. This contribution addresses a critical challenge in service robotics: making hands-free, intuitive control feasible outside controlled labs. His research has implications for assistive technologies, smart homes, and public service robots, where natural voice interaction can significantly enhance accessibility and efficiency. With a focus on real-life scenario validation, Wu’s work stands out for its emphasis on practical deployment, earning recognition among peers for advancing the reliability of voice interfaces in mobile robotics.
Research Focus
Key Achievements
Top Papers
- 1