Patricia Kan
Papers
2
Total Citations
90
H-Index
2
About
Patricia Kan is a leading researcher in rehabilitation robotics, with a primary focus on developing intelligent systems for upper-limb stroke rehabilitation. Her most impactful work centers on the design of adaptive robotic systems that can personalize therapy for stroke survivors—the leading cause of adult disability. In her landmark 2011 paper, which has garnered 88 citations, Kan introduced an automated rehabilitation robotic system that guides patients through tailored exercises, dynamically adjusting to their performance and recovery stage. This contribution is foundational in moving rehabilitation robotics from rigid, pre-programmed routines toward responsive, patient-centered therapy. Her earlier 2009 work laid the groundwork by modeling the rehabilitation process using a partially observable Markov decision process (POMDP), a sophisticated framework that enables the robot to make optimal decisions under uncertainty about the patient’s condition. Together, these studies demonstrate Kan’s commitment to merging control theory, robotics, and clinical need. Her research not only advances engineering but directly addresses a pressing healthcare challenge, offering hope for more effective, accessible recovery for millions of stroke survivors worldwide.
Research Focus
Key Achievements
Top Papers
- 1
- 2Design of an Adaptive System for Upper-limb Stroke Rehabilitation2 citations · 2009