Girija Chetty

University of Canberra, University of Maryland, Baltimore County

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About

Girija Chetty is a researcher whose work spans rehabilitation robotics and bio-inspired sensing systems. Her primary research areas include inverse kinematics for robotic manipulators, deep learning applications in medical robotics, and electric field-based sensing for autonomous underwater vehicles. Chetty’s most notable contribution is her 2025 paper on solving the inverse kinematics problem for a six-degree-of-freedom upper limb rehabilitation robot using deep learning models, which has garnered 6 citations. This work addresses a critical challenge in rehabilitation robotics—the lack of systematic approaches for inverse kinematics—by leveraging neural networks to accurately compute joint angles from end-effector positions, thereby enhancing the precision and adaptability of robotic therapy devices. Earlier, Chetty explored electric field sensing for underwater vehicle guidance in a 2002 paper (3 citations), drawing inspiration from aquatic animals to develop novel navigation methods for submersible robots. This interdisciplinary work demonstrates her ability to bridge biological principles with engineering solutions. Chetty’s research, though still building citation impact, shows promise in advancing both assistive medical technologies and autonomous underwater systems. Her deep learning approach to rehabilitation robotics, in particular, offers a pathway toward more responsive and patient-specific therapeutic robots.