Harris Nisar
Papers
3
Total Citations
40
H-Index
3
About
Harris Nisar is pioneering the intersection of reinforcement learning and rehabilitation robotics, with a focus on creating adaptive, patient-centered technologies for stroke recovery. His most impactful work, "AR3n: A Reinforcement Learning-Based Assist-as-Needed Controller for Robotic Rehabilitation" (2023, 25 citations), introduces a novel controller that dynamically adjusts assistance during handwriting tasks, moving beyond rigid, patient-specific models to offer truly personalized therapy. This breakthrough has been complemented by his 2024 study on "Robotic mirror therapy for stroke rehabilitation through virtual activities of daily living" (9 citations), which enhances traditional mirror therapy by integrating robotic assistance with immersive virtual environments to improve motor and visual function. Beyond clinical applications, Nisar demonstrated versatility with his low-cost UVBot (2022, 6 citations), a SLAM-based autonomous robot designed to mitigate norovirus transmission in workplaces—showcasing his ability to address pressing public health challenges through accessible engineering. With a growing citation footprint and a clear trajectory toward scalable, intelligent rehabilitation systems, Nisar is establishing himself as a key innovator in assistive robotics and human-robot interaction.
Research Focus
Key Achievements
Top Papers
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