Rongzhen Fu

Papers

Total Citations

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About

Rongzhen Fu is a rising researcher at the intersection of human motor learning, rehabilitation robotics, and sensory feedback systems. Her work focuses on how error modulation—the strategic manipulation of performance errors during training—can enhance both skill acquisition and user motivation. In her most cited study, "Effects of Error Modulation-Based Visual and Haptic Feedback Fusion Strategies on Motor Learning and Motivation" (2023), Fu investigates how combining visual and haptic feedback, guided by error modulation principles, influences motor learning outcomes. This research is critical for advancing robot-assisted rehabilitation, where personalized feedback can accelerate recovery. While still early in her career, with her top paper garnering 3 citations, Fu’s work addresses a gap in understanding how multimodal feedback strategies interact to improve learning and engagement. Her contributions have implications for designing more effective rehabilitation protocols and training systems. As she continues to explore the synergy between sensory feedback and motor control, Fu is poised to make significant strides in human-robot interaction and neurorehabilitation, offering insights that could transform how we approach motor skill training and recovery.