Papers

3

Total Citations

11

H-Index

2

About

Xuecheng Zhang is a researcher focused on soft robotics, bio-inspired design, and robotic perception. His work explores the motion evolution of soft robots using simulation platforms like VoxCAD, contributing to the understanding of how flexible structures can achieve complex behaviors. Zhang has also drawn inspiration from biological systems, modeling a bionic flexible arm based on the octopus arm to analyze its high degrees of freedom and adaptability—a key challenge in soft robotics. Additionally, he has addressed practical calibration issues in robotic vision, developing a hand-eye calibration method using a binocular camera and a three-dimensional calibration ball for improved accuracy in robotic arm positioning. While his citation counts are modest—his most cited paper, on soft robot motion evolution (2019), has 6 citations—his work represents foundational steps in emerging areas of robotics. Zhang’s research bridges simulation, bio-inspiration, and sensor integration, offering insights for students and researchers interested in the intersection of soft robotics, control, and perception.

Research Focus

Key Achievements

2
H-Index
3
Papers
11
Total Citations
4
Avg Citations/Paper
🏆 Most Cited Paper
Research on Motion Evolution of Soft Robot Based on VoxCAD
6 citations · 2019
📈 Most Prolific Year: 2019 (1 Papers)
🤝 Key Collaborators: 11
🏛 Institutions: Hangzhou Dianzi University, Shandong Institute of Automation, Wuhan University of Technology

Top Papers

  1. 1
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  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago