Papers

2

Total Citations

15

H-Index

2

About

Zhangjie Guan is a researcher specializing in robotic manipulation, with a primary focus on the computational generation and analysis of workspaces for multifingered hands. Their major contributions lie in developing novel numerical approaches and optimization-based algorithms to determine the feasible positioning of grasped objects. In their most-cited work, "Workspace Generation for Multifingered Manipulation" (2011, 10 citations), Guan introduced a method that computes the position boundary of an object by analyzing grasp feasibility through optimization techniques. This built upon their earlier foundational paper, "Workspace of 3-D multifingered manipulation" (2008, 5 citations), which extended these concepts into three-dimensional space. By discretely mapping the boundaries of possible object positions, Guan’s work provides critical tools for understanding the dexterity and functional limits of robotic hands, directly informing the design and control of dexterous manipulation systems. While their citation counts reflect a focused, specialized audience, these contributions are essential for advancing autonomous grasping and in-hand manipulation in robotics.

Research Focus

Key Achievements

2
H-Index
2
Papers
15
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Workspace Generation for Multifingered Manipulation
10 citations · 2011
📈 Most Prolific Year: 2011 (1 Papers)
🤝 Key Collaborators: 4
🏛 Institutions: Beihang University, Hunan Institute of Science and Technology

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 16 days ago