Papers

4

Total Citations

102

H-Index

4

About

Costantinos Zagaris is a researcher specializing in spacecraft guidance, autonomous orbital operations, and robotic manipulation systems, with a particular focus on the challenge of capturing uncooperative and tumbling resident space objects — a critical problem for active debris removal and on-orbit servicing missions. His most influential contribution, a convex-programming-based guidance algorithm for capturing tumbling objects using spacecraft-mounted robotic manipulators, has garnered 68 citations since its publication in 2018, establishing him as a notable voice in the field of autonomous space robotics. Zagaris has consistently pursued both theoretical rigor and experimental validation: his work on convex optimization for proximity maneuvering (2017, 18 citations) introduced locally optimal, computationally tractable solutions, while his laboratory demonstrations on hardware-in-the-loop test beds — simulating reduced-gravity spacecraft dynamics — showed a commendable commitment to bridging the gap between algorithm design and real-world implementation. His earlier work on Model Predictive Control hardware implementation further reflects a practical engineering sensibility. Collectively, his research addresses some of the most pressing challenges in space situational awareness and autonomous on-orbit operations, making his work highly relevant to the growing field of space debris mitigation.

Research Focus

Key Achievements

4
H-Index
4
Papers
102
Total Citations
26
Avg Citations/Paper
🏆 Most Cited Paper
A convex-programming-based guidance algorithm to capture a tumbling object on orbit using a spacecraft equipped with a robotic manipulator
68 citations · 2018
📈 Most Prolific Year: 2017 (2 Papers)
🤝 Key Collaborators: 9
🏛 Institutions: Naval Postgraduate School, United States Air Force Research Laboratory

Top Papers

  1. 1
  2. 2
  3. 3
  4. 4

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 17 days ago