Shirley L Srubiski

University of Toronto

Papers

1

Total Citations

12

H-Index

1

About

Shirley L. Srubiski investigates the intersection of robotics and human motor learning, with a primary focus on how robotic guidance reshapes sensorimotor control. Her work explores a critical distinction in motor behavior: whether robotic assistance primarily influences movement planning or the online, real-time corrections that occur during execution. In her most cited work, "Effects of robotic guidance on sensorimotor control: Planning vs. online control?" (2014, 12 citations), Srubiski systematically examined how robot-guided practice and visual feedback availability alter these distinct control processes. This research contributes to a deeper understanding of motor skill acquisition in both healthy individuals and those with neurological impairments, offering insights that could inform more effective rehabilitation protocols. While her citation count reflects a focused, emerging body of work, Srubiski’s contributions are notable for their theoretical clarity—parsing the complex mechanisms behind robotic training. Her findings challenge simplistic views of robotic guidance as a monolithic intervention, instead revealing its differential impact on feedforward planning versus feedback-driven control. For students and researchers in motor control and rehabilitation robotics, Srubiski’s work provides a valuable framework for designing targeted training interventions.

Research Focus

Key Achievements

1
H-Index
1
Papers
12
Total Citations
12
Avg Citations/Paper
🏆 Most Cited Paper
Effects of robotic guidance on sensorimotor control: Planning vs. online control?
12 citations · 2014
📈 Most Prolific Year: 2014 (1 Papers)
🤝 Key Collaborators: 5
🏛 Institutions: University of Toronto

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago