Papers
4
Total Citations
150
H-Index
3
About
Dr. Ruoli Wang is a leading researcher at the intersection of biomechanics, wearable robotics, and neural control, whose work is fundamentally advancing how robotic exoskeletons understand and assist human movement. Her primary research areas include neuromuscular modeling, human motion intent detection, and the human-in-the-loop optimization of assistive devices. Dr. Wang's most impactful contribution is her pioneering work on ankle joint torque estimation, where she developed an EMG-driven neuromusculoskeletal model and an artificial neural network—a study that has garnered over 100 citations and is foundational for controlling powered exoskeletons. She has also introduced a muscle synergy-inspired method for detecting human movement intentions using wearable sensor fusion, a critical step toward seamless human-robot interaction. Her recent investigations into the influence of EMG input features on torque prediction with support vector regression are refining the accuracy of these systems. Notably, her latest work on multi-objective human-in-the-loop optimization for dropfoot gait represents a cutting-edge approach to personalizing exoskeleton assistance, promising to deliver more effective, real-world rehabilitation solutions for individuals with motor disorders.
Research Focus
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Top Papers
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