Vishwanath Arun Deshmukh
Papers
2
Total Citations
43
H-Index
2
About
Vishwanath Arun Deshmukh is a leading researcher in neurorehabilitation engineering, with a focus on robotic therapy for post-stroke motor recovery. His work centers on understanding how robotic devices can assess and enhance sensorimotor function, particularly proprioception—the sense of joint position—which is critical for motor learning after neurological injury. Deshmukh’s 2017 study on proprioceptive assessment using a robotic manipulator, cited 37 times, introduced a sensitive, quantitative method for evaluating joint position sense in the upper limb, overcoming the limitations of conventional ordinal scales. In his 2019 work, he explored the nuanced relationship between robotic assistance and patient performance, revealing that while assistance can boost immediate performance, it may not always translate to long-term learning—a key insight for designing adaptive rehabilitation protocols. By investigating the “assistance threshold,” Deshmukh has contributed to more effective, patient-centered robotic therapies that balance support with active engagement. His research bridges engineering and clinical practice, offering tools and principles that improve motor recovery outcomes for stroke survivors.
Research Focus
Key Achievements
Top Papers
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