Simge Unsal
Papers
1
Total Citations
4
H-Index
1
About
Simge Unsal is a robotics researcher whose work focuses on advancing autonomous mobile systems, particularly in the areas of motion planning and adaptive control for robots operating under dynamic physical constraints. Her most-cited paper, “A New Velocity Planning Method for Autonomous Robots with Varying Mass” (2022), addresses a critical challenge in real-world robotics: how to safely and efficiently plan trajectories for robots whose mass changes during operation—such as those carrying payloads in logistics, manufacturing, or space exploration. By proposing a novel velocity planning algorithm that accounts for varying mass, Unsal’s work contributes to safer, more reliable autonomous navigation in demanding environments. This research has already garnered attention, with 4 citations in a short time, reflecting its relevance to both academic and industrial robotics communities. Unsal’s contributions are particularly significant for applications in production lines, fast delivery systems, and defense, where robots must adapt to changing loads without compromising performance or safety. Her work represents a meaningful step toward more intelligent and versatile autonomous systems.
Research Focus
Key Achievements
Top Papers
- 1A New Velocity Planning Method for Autonomous Robots with Varying Mass4 citations · 2022