B. V. Shtohrinets
Papers
1
Total Citations
5
H-Index
1
About
B. V. Shtohrinets is a researcher specializing in neurofuzzy control systems and multi-agent robotics, with a particular focus on the coordinated management of mobile robotic platforms (MRPs). Their most-cited work, “Basic structure of the neurofuzzy control system for a group of mobile robotic platforms” (2023, 5 citations), makes a foundational contribution by systematically analyzing centralized, decentralized, and hybrid approaches to group robotics. Shtohrinets identifies the critical need for adaptive, intelligent control architectures that can handle the complexity of multi-robot coordination, and proposes a neurofuzzy framework that integrates neural learning with fuzzy logic reasoning. This work lays the groundwork for more robust and scalable swarm robotics systems, addressing key challenges in real-time decision-making and communication among autonomous agents. While still early in their career, Shtohrinets’ research is gaining recognition for bridging theoretical control methods with practical robotic applications. Their contributions are particularly relevant to researchers working on autonomous systems, intelligent control, and collaborative robotics, offering a clear structural foundation for future developments in decentralized multi-agent coordination.
Research Focus
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Top Papers
- 1