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About

Eojin Rho is a leading researcher in the field of assistive robotics, specializing in soft wearable robotic gloves and intelligent grip control for rehabilitation and manipulation. Their work focuses on restoring hand function for individuals with motor impairments, particularly stroke survivors, by integrating vision-based intention detection with soft-robotic systems. Rho’s most-cited paper, "Multiple Hand Posture Rehabilitation System Using Vision-Based Intention Detection and Soft-Robotic Glove" (2024, 29 citations), introduces a novel approach that uses cameras to interpret user intent and control a soft glove for active rehabilitation, enabling more natural and intuitive hand movements. Another key contribution, "Learning Fingertip Force to Grasp Deformable Objects for Soft Wearable Robotic Glove With TSM" (2021, 17 citations), addresses the critical challenge of applying precise fingertip forces to deformable objects, preventing damage while ensuring secure grasps. Rho has also explored the impact of physical parameters and vision data on deep learning-based grip force estimation for fluidic origami soft grippers (2024, 4 citations), advancing the understanding of sensorless force control in delicate manipulation tasks. With a growing citation impact, Rho’s work is shaping the future of soft robotics for rehabilitation and human-robot interaction.