Papers
16
Total Citations
621
H-Index
10
About
Trieu Phat Luu is a leading researcher at the intersection of neural engineering and rehabilitation robotics, whose work focuses on restoring and enhancing human mobility through intelligent, brain-controlled systems. His most significant contributions lie in developing brain–computer interfaces (BCIs) for lower-limb powered exoskeletons and orthoses, enabling intuitive control of assistive devices for individuals with walking disabilities. His landmark 2018 paper on brain–machine interfaces for lower-limb robotics has garnered 225 citations, establishing a foundational framework for the field. Luu also pioneered real-time closed-loop BCI systems that allow users to control virtual reality avatars through gait adaptation, a breakthrough with 111 citations that demonstrates the feasibility of multi-day neural control of locomotion. Beyond BCI, he has advanced personalized gait rehabilitation through artificial neural networks, developing subject-specific gait pattern prediction models that ensure natural, smooth movement during robotic therapy. His work on the NaTUre-Gaits over-ground gait trainer and tremor-suppression orthoses for the upper limb further showcases his commitment to translating neural engineering principles into practical, patient-centered rehabilitation technologies.
Research Focus
Key Achievements
Top Papers
- 1Brain–machine interfaces for controlling lower-limb powered robotic systems225 citations · 2018
- 2
- 3
- 4
- 5
- 6
- 7Subject-specific lower limb waveforms planning via artificial neural network20 citations · 2011
- 8
- 9Subject tailored gait pattern planning for robotic gait rehabilitation12 citations · 2010
- 10