Hongji Shang

Tsinghua University, University Town of Shenzhen

Papers

2

Total Citations

13

H-Index

2

About

Hongji Shang is a rising researcher in the fields of soft robotics, mechanical metamaterials, and continuum robot control. His work focuses on solving fundamental challenges in the shape sensing and control of highly flexible continuum robots, which are critical for applications in minimally invasive surgery and industrial inspection. Shang’s most-cited paper, "Orientation to Pose: Continuum Robots Shape Reconstruction Based on the Multi-Attitude Solving Approach" (2022, 10 citations), introduces a novel real-time framework for reconstructing the shape of continuum robots using multi-attitude solving, enabling closed-loop control of these inherently complex, infinite-degree-of-freedom systems. This contribution addresses a key bottleneck in the practical deployment of continuum robots. In his more recent work, "Semi-open discrete mechanical metamaterials and application in robotics" (2023, 3 citations), Shang explores the design of programmable mechanical structures, bridging the gap between metamaterials and robotic actuation. His research is notable for its interdisciplinary approach, combining theoretical modeling with practical robotic applications. As an early-career researcher, Shang’s growing citation record and innovative contributions position him as a promising voice in the advancement of soft and continuum robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
13
Total Citations
7
Avg Citations/Paper
🏆 Most Cited Paper
Orientation to Pose: Continuum Robots Shape Reconstruction Based on the Multi-Attitude Solving Approach
10 citations · 2022
📈 Most Prolific Year: 2022 (1 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Tsinghua University, University Town of Shenzhen

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago