Papers
19
Total Citations
132
H-Index
8
About
Shiqiang Zhu is a versatile robotics and biomedical engineering researcher whose work spans autonomous systems, human-machine interfaces, and rehabilitation technology. Over two decades of prolific research, Zhu has made significant contributions across several interconnected domains, including mobile robot navigation, biped locomotion, underwater robotics, and brain-computer interface (BCI)-assisted stroke rehabilitation. Among his most impactful contributions is his work on multi-sensor fusion odometry, exemplified by LVIO-SAM, which advances state estimation for mobile robot navigation. His early foundational work on sensory navigation for autonomous cleaning robots (2004) and hybrid visual landmark-based indoor localization (2018) helped shape practical approaches to robot autonomy. Zhu has also pioneered underwater robotics research, developing autonomous robotic fish capable of real-time object detection and tracking, alongside novel model-based methods for underwater visual recognition. His more recent investigations into biped locomotion — including energy-based stability criteria and compliant leg design for spring-like walking — demonstrate a sophisticated understanding of biomechanical principles in robotics. Notably, his 2025 randomized controlled trial on BCI-based stroke rehabilitation reflects a compelling pivot toward impactful clinical applications. With cumulative citations exceeding 100 across his top works, Zhu represents a rare bridge between foundational robotics engineering and translational human-centered technology.
Research Focus
Key Achievements
Top Papers
- 1
- 2LVIO-SAM: A Multi-sensor Fusion Odometry via Smoothing and Mapping13 citations · 2021
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- 5Hybrid visual natural landmark–based localization for indoor mobile robots11 citations · 2018
- 6Sensory navigation of autonomous cleaning robots11 citations · 2004
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- 10Design of a High-torque Robot Joint and Its Control System5 citations · 2022