Di Wu
Scholar

Di Wu

Google Scholar ID: 6-WS7DEAAAAJ
Assistant Professor, University of Southern Denmark
Surgical RoboticsArtificial Intelligence
Citations & Impact
All-time
Citations
452
 
H-index
12
 
i10-index
12
 
Publications
20
 
Co-authors
7
list available
Resume (English only)
Research Experience
  • Investigating methods to increase autonomy levels in surgical robotic systems
  • Developing and applying (explainable) Machine Learning, Deep Learning, and Reinforcement Learning for surgical robot control
  • Advancing teleoperation control strategies to improve precision and usability
  • Exploring novel sensing modalities such as fiber-optic sensing for surgical applications
  • Developing multi-sensor data fusion strategies to enhance perception and control accuracy
  • Using Augmented Reality (AR) to provide intuitive visualizations and intraoperative guidance
  • Innovating new mechanical designs tailored to specific surgical tasks
  • Designing and validating surgical robot systems to meet clinical requirements