Papers

10

Total Citations

145

H-Index

5

About

Ijar Milagre da Fonseca is a distinguished researcher whose work sits at the intersection of space robotics, attitude dynamics, and structural-control optimization — fields critical to the future of autonomous space operations. Over more than two decades, Fonseca has made sustained contributions to the development of intelligent systems for on-orbit servicing, a domain increasingly vital as humanity's orbital infrastructure grows more complex. His most-cited work, a 2021 study applying machine learning to optimal path planning for space robotic manipulators (52 citations), exemplifies his forward-looking integration of artificial intelligence with aerospace engineering. Earlier foundational research on the attitude dynamics of spacecraft-like robotic manipulators (32 citations) and autonomous pose estimation using machine vision (21 citations) established him as a pioneer in spacecraft autonomy and proximity operations. His structural and control optimization studies from the early 2000s, employing semi-analytical approaches to large space structures, demonstrate a rigorous mathematical foundation underpinning his broader research program. Through review works on the state-of-the-art in space robotics and dedicated chapters on spacecraft kinematics, Fonseca has also contributed meaningfully to the pedagogical literature, shaping how emerging researchers understand this evolving field.

Research Focus

Key Achievements

5
H-Index
10
Papers
145
Total Citations
15
Avg Citations/Paper
🏆 Most Cited Paper
A machine learning strategy for optimal path planning of space robotic manipulator in on-orbit servicing
52 citations · 2021
📈 Most Prolific Year: 2021 (2 Papers)
🤝 Key Collaborators: 16
🏛 Institutions: Instituto Tecnológico de Aeronáutica, Instituto Nacional de Pesquisas Espaciais

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 15 days ago