Adam Katafiasz
Papers
1
Total Citations
2
H-Index
1
About
Adam Katafiasz is a robotics researcher whose work focuses on the intersection of human motion and robotic dexterity, particularly in the control of anthropomorphic systems. His most cited paper, “Commanding an Anthropomorphic Robotic Hand with Motion Capture Data” (2019), introduces a novel method for translating human hand gestures into precise robotic manipulation. By integrating motion-capture data from an instrumented glove with detailed kinematic and dynamic models of a five-fingered hand, Katafiasz enables intuitive, real-time joint space control. This contribution bridges the gap between human intent and robotic execution, advancing the field of teleoperation and prosthetic design. With 2 citations, his work serves as a foundational reference for researchers exploring naturalistic human-robot interfaces. Katafiasz’s research is particularly valuable for students and engineers seeking to develop more responsive, human-like robotic hands, demonstrating how motion capture can unlock new levels of control in assistive and industrial robotics.
Research Focus
Key Achievements
Top Papers
- 1Commanding an Anthropomorphic Robotic Hand with Motion Capture Data2 citations · 2019