Zhen Kan
Scholar

Zhen Kan

Google Scholar ID: XVNpGUsAAAAJ
University of Science and Technology of China
Nonlinear ControlFormal MethodsRoboticsLearning Systems
Citations & Impact
All-time
Citations
2,802
 
H-index
27
 
i10-index
61
 
Publications
20
 
Co-authors
1
list available
Resume (English only)
Academic Achievements
  • Published multiple research papers on the design and analysis of control algorithms for robotic systems, particularly in realizing intelligence, efficiency, and safety in uncertain and dynamic environments.
Research Experience
  • 1. Learning Based Dexterous Manipulation (2024)
  • 2. End-to-End Legged Perceptive Parkour Skill Learning (2024)
  • 3. Online Reactive Motion Planning of Quadruped Robots (2023)
  • 4. Online Motion Planning with Soft Metric Interval Temporal Logic (2022)
  • 5. Temporal Logic Guided Motion Primitives for Complex Manipulation Tasks with User Preferences (2022)
Background
  • Research interests include control theory, formal methods, learning, and robotics.
Miscellany
  • The group places strong emphasis on both theoretical research and experimentation to address fundamental and open real-world technological problems; aiming to significantly advance technologies on controls and train science-based engineers and professionals to shape the future of our society.