Papers
4
Total Citations
33
H-Index
3
About
Hanjun Jiang is a researcher whose work spans robotics, power electronics, and embedded systems, with a particular focus on enabling intelligent, efficient hardware for autonomous and biomedical applications. A key contribution is in optical tactile sensing for robotic fingers, where Jiang developed a 3-D surface reconstruction technique that uses shadow processing from flashing LEDs to capture detailed surface deformations—a critical step for dexterous robotic manipulation. In power electronics, Jiang designed an ultrahigh voltage conversion ratio DC-DC boost converter that converts 5V to 150V, achieving a remarkable 76.4 mW/mg power density and 80% peak efficiency, directly addressing the needs of biomedical and sensing devices. Jiang also advanced robot navigation by fusing Dijkstra and TEB algorithms for improved path planning, and proposed FPSNET, a neural-network-based hardware architecture for feature point extraction in SLAM systems. With over 30 citations across these works, Jiang’s research demonstrates a consistent drive to bridge algorithmic innovation with practical, efficient hardware implementation, making significant strides in robotics and power management.
Research Focus
Key Achievements
Top Papers
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