Gerome A. Manson
Papers
3
Total Citations
20
H-Index
3
About
Gerome A. Manson investigates the intersection of robotics, sensorimotor control, and motor learning, with a focus on how technology can enhance human movement. His research explores the roles of vision, proprioception, and efference in error detection during reaching movements, as well as the efficacy of robotic guidance for skill acquisition. In a key study (2014, 12 citations), Manson examined how robotic guidance and visual feedback influence movement planning versus online control, revealing that guidance primarily alters feedforward processes. His work on combining unassisted and robot-guided practice (2019, 5 citations) demonstrated that such hybrid approaches can improve motor learning for complex tasks like golf putting, without compromising movement smoothness. More recently, Manson’s 2021 study (3 citations) clarified how brief visual windows contribute to endpoint error detection, integrating proprioceptive and efferent signals. These contributions advance our understanding of sensorimotor integration and have practical implications for rehabilitation and skill training. Manson’s research is notable for bridging theoretical motor control with applied robotics, offering insights that benefit both healthy individuals and clinical populations.
Research Focus
Key Achievements
Top Papers
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