Irina A. Pesheva
Papers
1
Total Citations
3
H-Index
1
About
Irina A. Pesheva is a robotics researcher specializing in multi-robot systems and environment mapping. Her key research areas include multi-agent perception, semantic mapping, and cooperative autonomous navigation. Her most notable contribution is the development of multi-aspect environment mapping technology, which enables groups of mobile robots to perceive their surroundings at two complementary levels: fine-grained geometric detail and high-level semantic representation. This dual-layer approach allows robots to not only detect obstacles but also understand what those objects are, significantly improving decision-making in complex, dynamic environments. Her work on this topic, published in 2019, has garnered 3 citations and lays important groundwork for future multi-robot coordination. Pesheva’s research addresses a critical challenge in robotics: bridging the gap between raw sensor data and actionable, contextual understanding. By advancing how robot teams collaboratively interpret their environment, she is contributing to more intelligent and resilient autonomous systems for applications ranging from search-and-rescue to industrial automation.
Research Focus
Key Achievements
Top Papers
- 1Multi-Aspect Environment Mapping with a Group of Mobile Robots3 citations · 2019