Zarema Balgabekova
Papers
1
Total Citations
10
H-Index
1
About
Zarema Balgabekova is a researcher at the intersection of robotics and artificial intelligence, specializing in human-robot coexistence and predictive control systems. Her work focuses on developing algorithms that enable robots to anticipate and adapt to human behavior in shared environments, enhancing safety and efficiency in collaborative settings. Her most-cited paper, "Scenario-based model predictive control with probabilistic human predictions for human–robot coexistence" (2023), introduces a novel framework that integrates probabilistic human motion predictions into model predictive control, allowing robots to navigate dynamic spaces with greater foresight and reliability. This contribution addresses critical challenges in real-world applications, such as manufacturing and service robotics, where human-robot interaction is frequent and unpredictable. With 10 citations in a short time, her research is gaining traction for its practical relevance and methodological innovation. Balgabekova’s work stands out for its blend of theoretical rigor and applied problem-solving, offering a pathway toward more intuitive and safer robotic systems. Her achievements signal a promising trajectory in advancing autonomous systems that coexist harmoniously with humans.
Research Focus
Key Achievements
Top Papers
- 1