Maria Maleshkova
Papers
2
Total Citations
7
H-Index
2
About
Maria Maleshkova is a leading researcher in the Web of Things (WoT) and the integration of robotic systems with modern web standards. Her work focuses on leveraging established Web technologies—such as RESTful APIs—to create open, flexible, and scalable frameworks for interconnecting embedded devices and real-world objects. Her most cited paper, "Building REST APIs for the Robot Operating System - Mapping Concepts and Interaction" (2015), makes a foundational contribution by proposing a systematic method to map Robot Operating System (ROS) concepts to web-friendly interfaces. This work directly advances the vision of a truly interoperable Web of Things, enabling seamless communication between robots and the broader World Wide Web. With several citations, her research has influenced both the robotics and IoT communities, demonstrating how standard web protocols can bridge the gap between industrial automation and consumer smart devices. Maleshkova’s achievements highlight her role in shaping a future where devices are not just connected, but fully integrated into the web’s ecosystem, promoting openness and scalability in cyber-physical systems.
Research Focus
Key Achievements
Top Papers
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