Denis Serdechnyy

About

Denis Serdechnyy is a researcher specializing in robotics, mathematical modeling, and autonomous systems, with a focus on manipulation robots and unmanned aerial vehicles (UAVs). His major contributions include developing a universal mathematical model for 6-DOF joint manipulation robots using the Lagrange–Euler method, which addresses deviations caused by elastic deformations or gaps—a critical advancement for precision robotics. This work, published in 2021, has garnered 20 citations, reflecting its practical significance. Serdechnyy also advanced UAV trajectory analysis, proposing a mathematical framework to evaluate flight path complexity in aviation and transport systems (14 citations), highlighting the growing role of drones in commercial and agricultural applications. Additionally, he introduced a parallel computational algorithm for object-oriented modeling of manipulation robots, optimizing dynamic model decomposition for efficient processing (11 citations). His recent work on a computer vision system for an optical sorting robot (2024) demonstrates his continued innovation in integrating perception and automation. Serdechnyy’s research bridges theoretical modeling and applied robotics, offering scalable solutions for industrial automation, logistics, and autonomous navigation.

Research Focus

Key Achievements

Top Papers

1. 1
   Mathematics Model for 6-DOF Joints Manipulation Robots

   20 citations · 2021
2. 2
   Mathematical Modeling, Analysis and Evaluation of the Complexity of Flight Paths of Groups of Unmanned Aerial Vehicles in Aviation and Transport Systems

   14 citations · 2021
3. 3
   Parallel Computational Algorithm for Object-Oriented Modeling of Manipulation Robots

   11 citations · 2021
4. 4
   Development of a Computer Vision System for an Optical Sorting Robot

   2 citations · 2024

Key Collaborators

Contact & Links