Dipayan Das

University of Tulsa

Papers

2

Total Citations

11

H-Index

2

About

Dipayan Das is a roboticist whose research lies at the intersection of bio-inspired design and mechanical intelligence. His work reimagines robotic hands by drawing on surgical knowledge and network theory to create simpler, more effective grippers. In his highly cited 2016 paper, "Simplified robotic thumb inspired by surgical intervention" (7 citations), Das capitalizes on empirical data from thumb arthrodesis to eliminate an unnecessary degree of freedom, mimicking a surgical fusion to streamline both design and operation. This insight allows for robust, functional thumbs without complex actuation. Expanding this philosophy, his work "Compliantly underactuated hands based on multiport networks" (4 citations) introduces a formal framework for designing elastic transmissions. By modeling compliant mechanisms as multiport networks and analyzing the eigenvectors of the stiffness matrix, Das provides engineers with a powerful tool to evaluate and select transmissions that coordinate finger motion passively. His contributions are foundational to the field of underactuated hands, demonstrating how biological and mathematical principles can converge to create simpler, more compliant, and more capable robotic manipulators.

Research Focus

Key Achievements

2
H-Index
2
Papers
11
Total Citations
6
Avg Citations/Paper
🏆 Most Cited Paper
Simplified robotic thumb inspired by surgical intervention
7 citations · 2016
📈 Most Prolific Year: 2016 (2 Papers)
🤝 Key Collaborators: 3
🏛 Institutions: University of Tulsa

Top Papers

  1. 1
  2. 2

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 12 days ago