Eren Allak
Papers
6
Total Citations
30
H-Index
4
About
Eren Allak is a robotics researcher whose work spans autonomous navigation, state estimation, and control for both aerial and cable-driven robotic systems. His research centers on enabling robots to operate reliably in challenging, unstructured environments—from Mars analog missions to critical infrastructure inspection. Allak’s most cited work, “AMADEE-18: Vision-Based Unmanned Aerial Vehicle Navigation for Analog Mars Mission” (2020, 10 citations), demonstrates his contributions to planetary exploration by developing UAV localization techniques tested in simulated Martian conditions. He has also advanced suspended cable-driven parallel robots (SCDPRs), addressing the complex problem of cable sag in pose estimation through both kinematics-inertial fusion (2022, 7 citations) and reinforcement learning-based control (2025). Allak’s innovations in AI-aided visual-inertial odometry, such as the AIVIO system (2024), enable object-relative navigation for autonomous inspection tasks, while his work on multi-robot state estimation under communication constraints (2022, 4 citations) tackles practical challenges in collaborative robotics. With a growing body of work that bridges simulation, learning, and real-world deployment, Allak is shaping the future of autonomous systems in extreme environments.
Research Focus
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Top Papers
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