Papers

3

Total Citations

7

H-Index

2

About

Sijian Zhang is a robotics researcher whose work centers on autonomous systems, three-dimensional digitization, and multi-robot coordination. His research addresses the practical challenges of enabling mobile robots to intelligently perceive and interact with their environments. In the area of 3D digitization, Zhang developed innovative viewpoint planning methods that allow mobile robotic platforms to efficiently construct accurate three-dimensional models of objects and environments. Notably, his 2009 work demonstrated that sophisticated digitization capabilities could be achieved using entirely commercial off-the-shelf components, significantly lowering the barrier to entry for researchers and practitioners. Building on this foundation, his 2010 contribution introduced an Octree-based segmentation approach combined with least-squares methods to further optimize scanning efficiency. Zhang also extended his expertise into multi-robot systems, investigating local coordination strategies for robot gathering and formation tracking using bearing-only measurements — a practically valuable constraint for real-world deployments. While his citation counts remain modest, reflecting work in a specialized niche, his contributions collectively advance the accessibility and reliability of autonomous robotic perception and coordination, offering meaningful foundations for students and engineers working in field robotics and intelligent automation.

Research Focus

Key Achievements

2
H-Index
3
Papers
7
Total Citations
2
Avg Citations/Paper
🏆 Most Cited Paper
An efficient planning method for mobile robot based 3D digitization
3 citations · 2010
📈 Most Prolific Year: 2010 (1 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: Zhejiang University, China Southern Power Grid (China)

Top Papers

  1. 1
  2. 2
  3. 3

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago