Nareen Karnati
Papers
6
Total Citations
75
H-Index
3
About
Nareen Karnati’s research lies at the intersection of bio-inspired robotics, human motion analysis, and dexterous manipulation. Her work focuses on understanding and replicating human finger joint synergies—the coordinated patterns of movement that enable complex tasks—to improve the control of anthropomorphic robotic hands. Her most significant contribution is the development of sinusoidal finger joint synergy models, inspired by human motion data from nine test subjects, which allow robotic hands to perform intricate actions like unscrewing and screwing objects of varying diameters. This work, detailed in her top-cited paper (50 citations), demonstrates how human-like periodic motions can be translated into robotic control. Karnati further advanced the field by introducing adaptive synergy controllers that modulate finger movements based on grasped object orientation and even facial EMG signals, enabling hands to rotate objects in multiple orientations. Her research has accumulated over 75 citations, with notable achievements including the application of sliding mode control for robust stability and the integration of EMG-based facial recognition for intuitive control. Karnati’s work is foundational for creating more natural, versatile prosthetic and robotic hands.
Research Focus
Key Achievements
Top Papers
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