Amin Hsino

University of Siegen

Papers

1

Total Citations

5

H-Index

1

About

Amin Hsino is a researcher whose work lies at the intersection of robotics, autonomous systems, and cooperative perception. His primary contributions focus on multi-robot systems, particularly in the domain of cooperative simultaneous localization and mapping (SLAM). In his notable 2013 paper, "Aerial Robot Localization Using Ground Robot Tracking – Towards Cooperative SLAM," Hsino introduced a novel framework for enabling aerial robots to localize themselves by tracking ground robots, a key step toward robust, collaborative autonomy in GPS-denied environments. This work, which has garnered 5 citations, laid foundational ideas for integrating heterogeneous robot teams to enhance spatial awareness and navigation reliability. Hsino’s research addresses critical challenges in real-world robotics, such as sensor fusion, relative localization, and scalable coordination. By bridging aerial and ground platforms, his contributions have implications for search-and-rescue, environmental monitoring, and industrial inspection. Though his citation count is modest, the conceptual impact of his work resonates in the growing field of cooperative SLAM, inspiring further exploration into how robot teams can jointly perceive and map complex environments.

Research Focus

Key Achievements

1
H-Index
1
Papers
5
Total Citations
5
Avg Citations/Paper
🏆 Most Cited Paper
Aerial Robot Localization Using Ground Robot Tracking – Towards Cooperative SLAM
5 citations · 2013
📈 Most Prolific Year: 2013 (1 Papers)
🤝 Key Collaborators: 2
🏛 Institutions: University of Siegen

Top Papers

  1. 1

Key Collaborators

Contact & Links

Available for collaboration
Content generated · 14 days ago