Oleg Basov

About

Oleg Basov is a leading researcher in the field of cyber-physical systems and robotic control, with a specific focus on life-saving applications in emergency response. His work centers on the development of proactive robotic systems designed to enhance the effectiveness of rescue operations. Basov’s major contribution lies in integrating predictive modeling with robotic control, enabling machines to anticipate and respond to dynamic, hazardous environments. His 2016 paper on a conceptual model for a cyber-physical environment, which has garnered 23 citations, establishes a foundational framework for collaborative work between distributed sensors and mobile robots. He has further advanced the field by applying Bayesian Belief Networks to model the optimal positioning and transportation of injured victims, a critical step in reducing secondary harm during extraction. With a total of over 40 citations across his most-cited works, Basov’s research is recognized for its practical impact on emergency robotics. His notable achievement includes pioneering the concept of proactive control in rescue robotics, moving beyond reactive systems to save more lives.

Research Focus

Key Achievements

Top Papers

1. 1
   Conceptual Model of Cyberphysical Environment Based on Collaborative Work of Distributed Means and Mobile Robots

   23 citations · 2016
2. 2
   Proactive control of Robotic Systems for Rescue Operations

   7 citations · 2016
3. 3
   Analysis and Modeling of Position Choice Process for Transportation of the Sufferer on the basis of Bayesian Belief Networks

   6 citations · 2015
4. 4
   Proactive Robotic Systems for Effective Rescuing Sufferers

   4 citations · 2016
5. 5
   Modeling of Injured Position During Transportation Based on Bayesian Belief Networks

   2 citations · 2016

Key Collaborators

Contact & Links