Arystan Amangeldi
Papers
1
Total Citations
3
H-Index
1
About
Arystan Amangeldi is a robotics researcher whose work centers on the control and localization of mobile robotic systems, with a particular focus on differential drive platforms. His most notable contribution, detailed in the 2023 paper "Multi-Goal Point Stabilization Control for Differential Drive Mobile Robot with Odometry," presents a novel control scheme that enables a robot to autonomously navigate and stabilize at multiple goal points. By computing the control law online from a kinematic model and deploying it on embedded hardware, Amangeldi bridges theoretical control theory with practical, real-world implementation. The use of odometry for motion-based localization further underscores his interest in cost-effective, sensor-driven navigation solutions. While his work is still early in its citation lifecycle, with 3 citations to date, the paper lays a foundational approach for multi-goal path planning and stabilization—a critical challenge in autonomous mobile robotics. Amangeldi’s research is particularly relevant for students and engineers developing low-cost, embedded robotic systems for applications in warehouse logistics, service robotics, and educational platforms.
Research Focus
Key Achievements
Top Papers
- 1