Papers
186
Total Citations
2,641
H-Index
25
About
Aiguo Song is a prolific robotics and human-machine interface researcher whose work spans force sensing, bio-inspired robotics, brain-machine interfaces, and intelligent control systems. His foundational contribution — a self-decoupled four degree-of-freedom wrist force/torque sensor (2006, 159 citations) — established him as a leader in precision sensing, work he later extended to large-scale six-axis sensors for space manipulators. Song has made significant strides in assistive robotics, developing closed-loop hybrid brain-machine interfaces that combine EEG, computer vision, and eye tracking to enable paralyzed individuals to control robotic arms with greater autonomy and efficiency, collectively accumulating over 130 citations across two landmark studies. His engineering versatility is further demonstrated through a bio-inspired jumping robot, a teleoperated nuclear and chemical leak detection platform, and LineSpyX — an X-ray-equipped power line inspection robot. His more recent contributions extend into medical technology, including MRI-guided neurosurgery systems and AI-driven speech technologies for smart hospitals. With a portfolio exceeding 700 citations across diverse high-impact domains, Song represents a rare synthesizer of fundamental engineering and transformative real-world application.
Research Focus
Key Achievements
Top Papers
- 1A novel self-decoupled four degree-of-freedom wrist force/torque sensor159 citations · 2006
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- 4Small Teleoperated Robot for Nuclear Radiation and Chemical Leak Detection66 citations · 2012
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- 10LineSpyX: A Power Line Inspection Robot Based on Digital Radiography54 citations · 2020