Daniel Tran
Papers
1
Total Citations
18
H-Index
1
About
Daniel Tran is a leading figure in autonomous space systems, with a primary focus on mission planning for on-orbit satellite servicing. His most influential work centers on the DARPA-led Orbital Express mission, where he developed automated and adaptive mission planning algorithms that enabled unprecedented autonomous rendezvous, hydrazine propellant transfers, and robotic arm manipulation of Orbital Replacement Units. This foundational research, published in 2008 and garnering 18 citations, demonstrated the viability of robotic satellite servicing—a capability now critical to extending spacecraft lifespans and reducing space debris. Tran’s contributions have shaped how engineers design autonomous decision-making for complex orbital operations, bridging the gap between simulation and real-world spaceflight. His work remains a cornerstone for subsequent missions in on-orbit assembly and repair, influencing both defense and commercial space sectors. By proving that spacecraft can autonomously adapt to dynamic environments, Tran has helped pave the way for a new era of sustainable space infrastructure.
Research Focus
Key Achievements
Top Papers
- 1Automated and Adaptive Mission Planning for Orbital Express18 citations · 2008