Yasin Yagin
Papers
1
Total Citations
4
H-Index
1
About
Yasin Yagin is a robotics researcher whose work focuses on advancing the autonomy and adaptability of mobile robots in dynamic environments. His key research areas include motion planning, velocity optimization, and adaptive control for autonomous systems, particularly those with variable physical properties. In his most cited work, "A New Velocity Planning Method for Autonomous Robots with Varying Mass" (2022), Yagin addresses a critical challenge in robotics: how to safely and efficiently plan motion for robots whose mass changes during operation—such as those carrying payloads or manipulating objects. This contribution is vital for applications in production, logistics, defense, and space exploration, where robots must perform tasks that are dangerous or inefficient for humans. With 4 citations, this paper has already sparked interest among researchers seeking to improve robot performance under real-world constraints. Yagin’s work stands out for its practical relevance, bridging the gap between theoretical control methods and the demands of field robotics. His research continues to inspire safer, more reliable autonomous systems, making him a promising voice in the next generation of robotics innovation.
Research Focus
Key Achievements
Top Papers
- 1A New Velocity Planning Method for Autonomous Robots with Varying Mass4 citations · 2022