Papers
7
Total Citations
34
H-Index
4
About
Nazita Taghavi is a pioneering researcher at the intersection of rehabilitation robotics, bio-inspired systems, and human-robot interaction. Her work focuses on developing intelligent wearable and robotic systems to restore mobility and enhance physical therapy for patients with neurological impairments, particularly spinal cord injuries. Taghavi’s major contributions include the creation of a novel balancing device that uses inertial measurement sensing and direct leg actuation to stabilize the rear quarters of patient dogs, laying the groundwork for functional electrical stimulation control. She also advanced motion imitation algorithms, introducing the Segment-based Online Dynamic Time Warping (SODTW) algorithm for real-time human-robot interaction and the Adaptive Motion Imitation (AMI) algorithm based on deep reinforcement learning for robotic physiotherapy. Her research has garnered over 30 citations, with her most cited paper, "A Wearable Body Controlling Device for Application of Functional Electrical Stimulation" (2018), receiving 9 citations. Notably, Taghavi also developed the SerpenBot, a laser-driven microrobot smaller than 1mm that achieves locomotion in dry environments, showcasing her versatility in microrobotics. Her work promises to reduce healthcare professionals’ workloads and enable at-home rehabilitation, making her a key figure in assistive robotics.
Research Focus
Key Achievements
Top Papers
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- 2Online Dynamic Time Warping Algorithm for Human-Robot Imitation7 citations · 2021
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