Papers

2

Total Citations

18

H-Index

2

About

Samuel Chen is a robotics researcher whose work centers on the design, analysis, and optimization of tensegrity mechanisms—lightweight, cable-driven structures ideal for high-acceleration applications. His major contributions lie in developing analytical methods for computing the actuator and Cartesian workspace boundaries of planar two-degree-of-freedom translational tensegrity mechanisms. By replacing rigid links with cables, Chen’s designs significantly reduce moving mass and inertia, enabling faster and more efficient robotic motion for tasks like pick-and-place operations. His most cited paper, “Analytical Computation of the Actuator and Cartesian Workspace Boundaries for a Planar 2-Degree-of-Freedom Translational Tensegrity Mechanism” (2012, 15 citations), provides a foundational framework for understanding the reachable workspace of these novel mechanisms. Chen’s earlier work, “Workspace Computation and Analysis of a Planar 2-DoF Translational Tensegrity Mechanism” (2010, 3 citations), laid the groundwork for this analysis. While his citation counts are modest, his research is notable for its rigorous analytical approach to a challenging problem in compliant robotics, offering a pathway toward lighter, faster, and more adaptable robotic systems.

Research Focus

Key Achievements

2
H-Index
2
Papers
18
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Analytical Computation of the Actuator and Cartesian Workspace Boundaries for a Planar 2-Degree-of-Freedom Translational Tensegrity Mechanism
15 citations · 2012
📈 Most Prolific Year: 2012 (1 Papers)
🤝 Key Collaborators: 1
🏛 Institutions: Western University, Royal Military College of Canada

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago