Elizaveta Shpieva
Papers
3
Total Citations
7
H-Index
2
About
Elizaveta Shpieva is a robotics researcher whose work bridges the gap between simulation and real-world autonomy, with a focus on autonomous vehicles and domestic service robots. Her key contributions lie in developing integrated architectures for robotic systems—combining task planning, execution, and monitoring to enable embodied agents to operate reliably in dynamic, unstructured environments. In her 2015 paper on domestic service robots, she demonstrated how a step-wise integration of components can create robust, adaptable systems, a foundational approach for household assistants. Shpieva also advanced autonomous vehicle research through her 2020 work on using robot simulators for the KAMAZ NEO truck, showing how simulation accelerates safe, cost-effective development of self-driving technologies. While her citation counts (3 and 2 for her top papers) reflect a focused, early-career impact, her work is notable for its practical, systems-level thinking—addressing the real-world challenges of deploying AI in physical spaces. Shpieva’s research is particularly valuable for students and engineers seeking to understand how to move from isolated algorithms to fully integrated, task-capable robots.
Research Focus
Key Achievements
Top Papers
- 1
- 2
- 3