Papers
5
Total Citations
75
H-Index
4
About
Fatima Khan is a robotics researcher whose work sits at the critical intersection of human intention sensing and assistive technology. Her primary research areas include rehabilitation robotics, human-robot interaction, and autonomous navigation. Khan’s most significant contributions lie in developing algorithms that enable upper-limb exoskeletons to anticipate and respond to a user’s desired motion. Her landmark 2017 paper, “Estimation of Desired Motion Intention and compliance control for upper limb assist exoskeleton” (34 citations), established a foundational approach for predicting human motion to improve robotic compliance. She further refined this using extreme learning machines and muscle circumference sensors, demonstrating adaptive impedance control that allows robots to seamlessly adjust support. Beyond rehabilitation, Khan has advanced autonomous mobile robotics with navigation algorithms for indoor environments, addressing obstacle avoidance in logistics and manufacturing. Her latest work (2024) explores EEG-based motion intention detection for robotic rehabilitation, comparing classification and regression algorithms to push toward brain-machine interfaces. With over 75 total citations, Khan’s research bridges the gap between human physiology and robotic control, making assistive devices more intuitive and responsive—a critical step toward practical, user-friendly rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
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- 3Navigation algorithm for autonomous mobile robots in indoor environments12 citations · 2018
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