Pi-Kang Shen
Papers
1
Total Citations
35
H-Index
1
About
Pi-Kang Shen has made impactful contributions at the intersection of robotics, human-robot interaction, and voice-controlled systems. 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 enables users to control mobile service robots through spoken commands in everyday environments. By integrating a well-trained deep neural network for robust voice recognition, Shen’s design addresses real-world challenges such as background noise and command variability, significantly advancing the usability of autonomous service robots. This work has garnered attention for its applied focus, bridging the gap between laboratory prototypes and deployable assistive technologies. Shen’s research underscores a commitment to making robotics more accessible and intuitive, with implications for smart homes, healthcare, and public service settings. His achievements highlight a growing influence in the field of voice-driven robotic interfaces, positioning him as a promising voice in human-centered robotics.
Research Focus
Key Achievements
Top Papers
- 1