Michail Petrov
Papers
4
Total Citations
60
H-Index
4
About
Michail Petrov is a researcher whose work centers on mobile robotics, intelligent control systems, and autonomous navigation — fields he has shaped through decades of sustained contribution. His research addresses some of the most persistent challenges in robotics, including trajectory tracking under real-world uncertainty, sensor-based navigation in partially known environments, and the design of communication architectures for multi-robot systems. Petrov's most influential work, "Trajectory Control of Mobile Robots using Type-2 Fuzzy-Neural PID Controller" (2015, 23 citations), demonstrates his sophisticated approach to handling the fuzziness and unpredictability inherent in real-world robotic deployments, combining fuzzy logic, neural networks, and classical PID control into a unified framework. His complementary study on wireless networking for mobile robot applications (2015, 21 citations) highlights his broader systems-level thinking, enabling coordinated sensing and communication across distributed robot nodes. Notably, Petrov's foundational contributions to intelligent motion planning and sensor-based navigation date back to the late 1990s, revealing a research trajectory spanning nearly three decades. This longevity, combined with his interdisciplinary integration of artificial intelligence and robotics, makes him a valuable reference point for students exploring autonomous systems and intelligent control.
Research Focus
Key Achievements
Top Papers
- 1Trajectory Control of Mobile Robots using Type-2 Fuzzy-Neural PID Controller23 citations · 2015
- 2Wireless Network for Mobile Robot Applications21 citations · 2015
- 3
- 4Intelligent Motion Planning and Control for a Simulated Mobile Robot7 citations · 1997