Papers
1
Total Citations
7
H-Index
1
About
Mikhail Guk is a researcher whose work lies at the intersection of cyber-physical systems and network-centric robotics. His primary research focus is on developing control frameworks that integrate computational algorithms with physical robotic platforms, enabling more adaptive and resilient autonomous operations. In his most-cited paper, "Cyber-Physical Approach to the Network-Centric Robot Control Problems" (2014), Guk addresses the challenges of coordinating multiple robots in dynamic environments, proposing a unified model that bridges communication networks and physical constraints. This work has garnered 7 citations, reflecting its foundational role in advancing distributed robotic control. Guk’s contributions are particularly notable for their practical implications in fields like search-and-rescue and industrial automation, where real-time coordination is critical. His research emphasizes the seamless integration of software and hardware, offering a blueprint for next-generation autonomous systems. While his citation count is modest, the conceptual depth of his work continues to influence emerging studies in cyber-physical robotics. For students and researchers, Guk’s approach demonstrates how theoretical models can directly inform real-world robotic applications, making his work a valuable reference for those exploring network-centric control paradigms.
Research Focus
Key Achievements
Top Papers
- 1Cyber-Physical Approach to the Network-Centric Robot Control Problems7 citations · 2014