Eugene Larkin

About

Eugene Larkin is a leading researcher in the reliability and control of robotic systems, with a particular focus on mobile robots and industrial manipulators. His work centers on developing mathematical models to ensure fault tolerance and predictable performance in autonomous systems. Larkin’s key contributions include pioneering the use of semi-Markov processes to model command execution and data buffering in mobile robot control systems, addressing the critical gap between theoretical assumptions and real-world execution variability. His most cited paper, “About Approach of the Transactions Flow to Poisson One in Robot Control Systems” (17 citations), provides foundational insights into traffic flow modeling. He has also advanced the understanding of concurrency in multi-robot swarms and the reliability of robot controller software, with multiple papers receiving 9–12 citations. Notably, his research on increasing the rigidity of industrial manipulators (5–4 citations) bridges theoretical modeling with practical hardware improvements. With over 80 cumulative citations across his top ten works, Larkin’s contributions are essential for engineers designing robust, fault-tolerant robotic systems. His work is particularly valuable for students and researchers exploring the intersection of stochastic processes, control theory, and real-time robotics.

Research Focus

Key Achievements

Top Papers

1. 1
   About Approach of the Transactions Flow to Poisson One in Robot Control Systems

   17 citations · 2017
2. 2
   Discrete Model of Mobile Robot Assemble Fault-Tolerance

   12 citations · 2019
3. 3
   Semi-Markov Modelling of Commands Execution by Mobile Robot

   11 citations · 2016
4. 4
   Mathematical Model for Evaluating Fault Tolerance of On-Board Equipment of Mobile Robot

   10 citations · 2020
5. 5
   Reliability of Robot’s Controller Software

   9 citations · 2023
6. 6
   Data buffering in mobile robot control systems

   5 citations · 2018
7. 7
   «Concurrency» in M-L-Parallel Semi-Markov Process

   5 citations · 2017
8. 8
   Modeling of Increased Rigidity of Industrial Manipulator

   5 citations · 2020
9. 9
   About One Approach to Robot Control System Simulation

   4 citations · 2018
10. 10
    Digital Control by Robot Manipulator with Improved Rigidity

    4 citations · 2023

Key Collaborators

Contact & Links