Ying Quan

University of British Columbia

Papers

1

Total Citations

1

H-Index

1

About

Ying Quan is a robotics researcher specializing in parallel kinematic mechanisms, with a particular focus on kinematically redundant architectures. Their most-cited work introduces a novel (6+3)-degree-of-freedom (DOF) kinematically redundant parallel robot, offering a significant advancement in workspace enhancement and motion flexibility. By integrating three additional actuated joints into a traditional 6-DOF Stewart platform, Quan’s design overcomes common limitations such as singularities and restricted reachable volumes, enabling more dexterous and robust manipulation for applications in precision manufacturing and surgical robotics. Although early in its citation impact, this foundational paper has already garnered attention for its systematic kinematic analysis and optimization methodology. Quan’s contributions are particularly valuable for researchers exploring redundancy resolution and workspace enlargement in parallel robots. Their work bridges theoretical kinematics with practical design, providing a framework that can be extended to other multi-DOF systems. As the field of collaborative and adaptive robotics grows, Quan’s insights into redundancy-driven performance gains are poised to influence next-generation robotic systems requiring high flexibility and load capacity.

Research Focus

Key Achievements

1
H-Index
1
Papers
1
Total Citations
1
Avg Citations/Paper
🏆 Most Cited Paper
Kinematic Analysis and Workspace Enhancement of a Novel (6+3)-DOF Kinematically Redundant Parallel Robot
1 citations · 2025
📈 Most Prolific Year: 2025 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of British Columbia

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 11 days ago