Leilaalsadat Pezeshki
Papers
2
Total Citations
36
H-Index
2
About
Leilaalsadat Pezeshki is a rising star in the field of robotic rehabilitation, whose work is redefining how human-robot interaction can accelerate physical recovery. Her research centers on developing intelligent, cooperative control systems that prioritize patient engagement over passive robotic assistance. In her seminal 2023 paper, "Cooperative Assist-as-Needed Control for Robotic Rehabilitation: A Two-Player Game Approach," which has garnered 28 citations, she pioneered an adaptive optimal control strategy that treats the patient and robot as collaborative players. This approach minimizes robotic intervention to encourage active patient participation, a critical factor for effective neurorehabilitation. Building on this foundation, her 2025 work, "Personalized Assistance in Robotic Rehabilitation: Real-Time Adaptation via Energy-Based Performance Monitoring," introduces a dynamic control scheme that monitors a patient’s energy expenditure to tailor assistance in real time. By ensuring that the robot only intervenes when truly needed, Pezeshki’s contributions promise to make rehabilitation sessions more effective and personalized. Her innovative fusion of game theory and real-time adaptation marks a significant leap toward truly patient-centered robotic therapy.
Research Focus
Key Achievements
Top Papers
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