Danli Wu
Papers
1
Total Citations
4
H-Index
1
About
Danli Wu is a rehabilitation researcher whose work centers on advancing robotic-assisted gait training for stroke survivors, with a particular focus on improving balance and walking ability. Her most cited study, a pilot investigation of the AiWalker system, represents a significant contribution to neurorehabilitation by evaluating a novel over-ground walking robot that integrates somatosensory stimulation—a distinct advantage over traditional devices like the Lokomat. This work, cited 4 times, laid critical groundwork for understanding how AiWalker’s unique training paradigm might enhance motor recovery in post-stroke patients. Wu’s research addresses a pressing clinical need: developing more effective, patient-centered rehabilitation technologies that mimic natural walking patterns. Her findings have implications for designing future robotic interventions that prioritize real-world mobility and sensory feedback. By pioneering early evidence on AiWalker’s therapeutic potential, Wu has helped shape the conversation around next-generation gait training, offering hope for more functional outcomes in stroke rehabilitation. Her work stands as a promising step toward bridging the gap between laboratory robotics and practical, everyday recovery for patients.
Research Focus
Key Achievements
Top Papers
- 1