Papers
5
Total Citations
24
H-Index
3
About
Tianyu Song is an emerging researcher at the intersection of medical robotics, augmented and mixed reality, and human-robot interaction. His work focuses on developing intelligent, immersive interfaces that bridge the gap between robotic systems and their human users—both clinicians and patients—in clinical environments such as ultrasound diagnostics and minimally invasive surgery. Song's most influential contribution, "Enhancing Patient Acceptance of Robotic Ultrasound through Conversational Virtual Agent and Immersive Visualizations" (2025, 11 citations), demonstrates his innovative approach of integrating large language model-driven virtual agents with mixed reality to improve patient trust in autonomous robotic systems. His complementary work on augmented reality for force visualization in robotic ultrasound (2024, 7 citations) highlights his commitment to procedural safety and precision. Earlier research on reflective-AR displays for virtual-to-real alignment in surgical robotics (2020, 3 citations) laid important groundwork in the field. Across his portfolio, Song consistently addresses real clinical pain points—patient anxiety, surgeon ergonomics, and physician-robot communication—by harnessing cutting-edge visualization and AI technologies. With a growing citation record and multiple publications in 2025 alone, he represents a promising voice shaping the future of intelligent, human-centered medical robotics.
Research Focus
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Top Papers
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