Papers
6
Total Citations
276
H-Index
5
About
Du-Xin Liu is a leading researcher in rehabilitation robotics, specializing in lower-limb exoskeleton systems that restore mobility to individuals with paraplegia, stroke, or spinal cord injury. His work centers on three key areas: individualized gait generation, autonomous environmental perception, and human-robot motion intention estimation. Liu’s most impactful contribution is his 2018 paper on “Individualized Gait Pattern Generation for Sharing Lower Limb Exoskeleton Robot” (111 citations), which pioneered a sharing technology enabling a single exoskeleton to adapt to different wearers’ unique walking patterns—a critical step toward affordable, widespread clinical use. His 2019 study on “Vision-Assisted Autonomous Lower-Limb Exoskeleton Robot” (87 citations) introduced computer vision to exoskeletons, allowing them to navigate complex terrains by predicting landing areas and adjusting gait in real time. In 2020, Liu advanced rehabilitation for complete paraplegics with “Online Gait Planning Considering Weight Transfer Process” (51 citations), which modeled the crucial weight-shift dynamics often overlooked in exoskeleton control. His broader portfolio includes wearable full-body flexible exoskeletons and on-line dynamic gait generation models, demonstrating a systematic approach to making exoskeletons safe, intuitive, and adaptive. With over 275 total citations, Liu’s work is shaping the next generation of intelligent, accessible walking-assist robots.
Research Focus
Key Achievements
Top Papers
- 1Individualized Gait Pattern Generation for Sharing Lower Limb Exoskeleton Robot111 citations · 2018
- 2Vision-Assisted Autonomous Lower-Limb Exoskeleton Robot87 citations · 2019
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