Nayan Bhatt
Papers
2
Total Citations
9
H-Index
2
About
Nayan Bhatt’s research lies at the intersection of human motor control, biomechanics, and robotics, with a central focus on understanding how the human hand coordinates complex manipulation tasks. His most notable contribution is the development of the **Posture Similarity Index (PSI)**, a novel method introduced in his highly cited 2018 paper (7 citations) that allows researchers to quantitatively compare hand postures within a synergy space. This work addresses a fundamental challenge: how the central nervous system (CNS) employs different strategies for tasks as varied as holding a pen versus holding a hammer. By providing a rigorous, data-driven framework for posture comparison, Bhatt’s PSI has become a valuable tool for roboticists designing more dexterous prosthetic hands and for neuroscientists studying motor synergies. His work bridges the gap between biological movement and artificial systems, offering insights into how task requirements shape hand configuration. With a growing citation impact, Bhatt is establishing himself as a key voice in the fields of rehabilitation engineering and human-robot interaction, where his methods promise to inform the next generation of adaptive, human-like robotic grippers.
Research Focus
Key Achievements
Top Papers
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- 2