Papers
7
Total Citations
76
H-Index
5
About
Mandar Jog is a leading researcher in the intersection of robotics, sensorimotor control, and movement disorders, with a particular focus on Parkinson’s disease (PD) and dystonia. His work systematically investigates how sensory and motor systems fail in these conditions, using robotic platforms to quantify deficits that are otherwise difficult to measure. Jog’s most cited paper (41 citations) introduces an adaptive filtering technique to characterize upper-limb pathological tremors, paving the way for augmented haptic rehabilitation systems. He has also developed a dynamical-systems model for PD and pioneered robotics-based methods to assess sensorimotor integration and force control, revealing how medication and freezing of gait affect motor output. His studies on visual displacement perception and haptic feedback during botulinum toxin therapy for focal hand dystonia demonstrate a translational focus—bridging mechanistic understanding with assistive strategies. With recent work (2023–2024) already accumulating citations, Jog’s research is shaping how clinicians and engineers design targeted interventions for complex neurological motor symptoms. His contributions are essential reading for anyone interested in neurorehabilitation, human-robot interaction, or the computational modeling of movement disorders.
Research Focus
Key Achievements
Top Papers
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- 3A dynamical-systems model for Parkinson's disease7 citations · 2000
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