Adem Coskun

Papers

Total Citations

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About

Adem Coskun is a robotics researcher whose work lies at the intersection of perception and multi-robot coordination. His most cited paper, "Experimental Comparison of Open Source Vision-Based State Estimation Algorithms" (2017, 73 citations), provides a critical benchmark for visual odometry and SLAM systems, offering practitioners a rigorous evaluation of popular open-source tools—a foundational resource for the robotics community. Beyond perception, Coskun tackles the challenge of resilient multi-robot systems. His work on "Online Plan Repair in Multi-robot Coordination with Disturbances" (2019, 11 citations) addresses the practical problem of robots facing unexpected delays, building on the RMTRACK control law to enable real-time trajectory adjustments. He extended this line of inquiry in "Deadlock-Free Online Plan Repair in Multi-robot Coordination with Disturbances" (2021, 5 citations), focusing on human-robot interaction scenarios where disturbances can derail preplanned paths. By developing methods that guarantee deadlock-free operation even under unpredictable human behavior, Coskun contributes to making multi-robot systems safer and more robust for real-world deployment. His research is particularly valuable for students and engineers working on autonomous navigation and collaborative robotics.