Papers
1
Total Citations
3
H-Index
1
About
Ru Ma is a researcher in assistive robotics and human-robot interaction, with a focus on developing intelligent control systems for wearable robotic suits. Her key research areas include walking pattern recognition, real-time feedback control, and speed-adaptive algorithms for lower-limb assistive devices. Ma’s major contribution is the creation of a speed-independent feedback index that enables robust and accurate recognition of walking patterns across varying speeds—a critical challenge in the field. This innovation allows robotic suits to respond more naturally and reliably to users' movements, enhancing both safety and usability. Her most cited work, "A speed-independent feedback index for walking pattern recognition for a walking assistive robotic suit" (2017), has garnered 3 citations and demonstrates a novel approach to maintaining consistent feedback signals regardless of walking pace. This achievement is notable for its potential to improve real-time control in assistive technologies, making them more adaptive to everyday human locomotion. Ma’s research contributes to the broader goal of creating intuitive, responsive exoskeletons that can support mobility-impaired individuals in dynamic environments.
Research Focus
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Top Papers
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