About

Konstantinos Karydis is a robotics researcher whose work spans autonomous aerial systems, energy-efficient robot navigation, soft robotics, and data-driven control. He is perhaps best known for his contributions to autonomous flight in challenging environments, exemplified by his highly cited 2017 paper on fast, GPS-denied navigation in cluttered spaces, which has garnered nearly 200 citations and remains a landmark contribution to the field. His research consistently tackles practical constraints on robotic systems — from optimizing energy efficiency in small-scale aerial robots to developing smooth trajectory generation methods that minimize power consumption during flight. Karydis has also made notable strides in coverage planning for unknown environments, collision-resilient quadrotor design, and Koopman operator-based frameworks for data-driven nonlinear control. Beyond aerial robotics, his work demonstrates impressive breadth: he has contributed to pneumatic soft robot control using memory-based architectures, assistive wearable devices for infants with motor impairments, and adaptive LiDAR-based mapping for agricultural robots. With a cumulative citation record reflecting wide-ranging influence, Karydis stands out as a versatile roboticist whose research bridges fundamental theory and real-world impact across multiple robotic platforms and application domains.

Research Focus

Key Achievements

17
H-Index
70
Papers
1,108
Total Citations
16
Avg Citations/Paper
🏆 Most Cited Paper
Fast, autonomous flight in GPS‐denied and cluttered environments
196 citations · 2017
📈 Most Prolific Year: 2024 (12 Papers)
🤝 Key Collaborators: 103
🏛 Institutions: University of Pennsylvania, Google (United States), University of California, Riverside, University of Delaware, University of California, Merced

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 · 34 days ago