About

Dr. Changcheng Wu is a leading researcher in brain-machine interfaces (BMI) and rehabilitation robotics, whose work bridges the gap between neural decoding and practical assistive technology. His primary research areas include noninvasive electroencephalogram (EEG)-based control, robotic arm manipulation, and tactile feedback systems for medical applications. Dr. Wu’s most impactful contribution is the development of a closed-loop hybrid gaze BMI system with augmented reality feedback for robotic arm control, enabling paralysis patients to perform daily living tasks with greater precision—a work cited 72 times. He has also pioneered motor imagery-based continuous teleoperation with tactile feedback (47 citations) and advanced the decoding of hand movement types and reach-and-grasp actions from EEG signals, achieving more intuitive neuroprosthesis control. His comprehensive review on robot-aided optical tweezers for biological cell manipulation (48 citations) demonstrates versatility in biomedical robotics. Notably, Dr. Wu designed a one-therapist-to-three-patient telerehabilitation system for upper limb stroke recovery, significantly improving therapy accessibility. His recent work on 3-D tactile-based object recognition using force-sensitive sensor arrays further enhances robotic dexterity. With over 300 total citations across his publications, Dr. Wu’s research continues to push the boundaries of human-robot interaction, offering transformative solutions for motor-impaired individuals.

Research Focus

Key Achievements

8
H-Index
12
Papers
306
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
Closed-Loop Hybrid Gaze Brain-Machine Interface Based Robotic Arm Control with Augmented Reality Feedback
72 citations · 2017
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 44
🏛 Institutions: Nanjing University of Aeronautics and Astronautics, Southeast University, Ministry of Industry and Information Technology

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4
  5. 5
  6. 6
  7. 7
  8. 8
  9. 9
  10. 10

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago