Papers

10

Total Citations

80

H-Index

5

About

Jamie Lennon is a leading figure in space robotics, whose work bridges the critical gap between autonomous machines and human operators. Her research centers on three core areas: autonomous satellite servicing, human-robot collaboration for space exploration, and intelligent trajectory optimization. Lennon’s most impactful contribution is her foundational work on the DARPA-sponsored FREND (Front-end Robotics Enabling Near-term Demonstration) project, which pushed the envelope of autonomous rendezvous and docking with non-cooperative satellites—a capability essential for on-orbit servicing and debris removal. Her highly cited paper on vision-based astronaut following (23 citations) established key principles for robotic assistants that can safely track and support crew during extravehicular activities. Lennon also pioneered the use of electro-rheological fluids for haptic teleoperation, enabling operators to "feel" forces at remote sites. Her multi-objective trajectory optimization work introduced synthetic agent oversight to intelligently balance competing goals like fuel efficiency and safety. With over 80 total citations across her portfolio, Lennon’s research has directly shaped how robots operate alongside humans in the extreme environments of space, laying the groundwork for future missions where autonomous assistants are indispensable partners.

Research Focus

Key Achievements

5
H-Index
10
Papers
80
Total Citations
8
Avg Citations/Paper
🏆 Most Cited Paper
Vision-based following for cooperative astronaut-robot operations
23 citations · 2003
📈 Most Prolific Year: 2008 (2 Papers)
🤝 Key Collaborators: 21
🏛 Institutions: University of Maryland, College Park, United States Naval Research Laboratory

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago