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About

Mahdieh Nejati Javaremi is a leading researcher in assistive robotics and human-robot interaction, with a focus on shared-control systems that empower individuals with motor impairments. Her work addresses a critical challenge: how to design assistive robot arms that adapt to each user’s unique physical constraints, preferences, and fluctuating abilities. In her most-cited paper (2019, 9 citations), she explores how different control interfaces impact the effectiveness of shared-control assistive devices, laying groundwork for personalized autonomy. Her 2020 study (7 citations) further characterizes teleoperation challenges, emphasizing that assistance needs can vary daily due to factors like pain or fatigue. Javaremi also pioneers novel methods for monitoring user workload—such as using heart rate variability (2021, 4 citations)—to enable “assist-as-needed” adjustments that balance fatigue and stress. Additionally, she introduced the Discrete N-Dimensional Entropy of Behavior (DNDEB) metric (2019, 3 citations) to quantify how control is shared between human and robot in collaborative teams. Her research directly informs the next generation of adaptive assistive technologies, aiming to maximize user independence and quality of life.