Oleh Smolkin

About

Oleh Smolkin is a researcher at the forefront of robotics and computer vision, with a specialized focus on automating complex, real-world tasks. His work primarily spans 3D reconstruction, pose estimation, and the application of deep learning to industrial robotics. Smolkin’s major contributions lie in developing intelligent systems for the meat processing industry, where he has pioneered the use of RGB-D cameras and deep neural networks to automate the handling of pig carcasses. His most cited paper, "Evaluation of RGB-D Multi-Camera Pose Estimation for 3D Reconstruction" (2022, 14 citations), advances the accuracy of multi-camera systems for environmental mapping. Building on this, his work on the "RoBUTCHER" platform (2024, 8 citations) introduces a novel robotic Meat Factory Cell designed to address labor shortages and sustainability in abattoirs. Smolkin further refined this with deep learning models for automatic limb detection and gripping, as well as methods for estimating pig limb orientation to determine precise gripping points. His research represents a significant step toward fully autonomous, flexible meat processing, demonstrating how cutting-edge AI and sensor technology can transform traditional industries.

Research Focus

Key Achievements

Top Papers

1. 1
   Evaluation of RGB-D Multi-Camera Pose Estimation for 3D Reconstruction

   14 citations · 2022
2. 2
   RoBUTCHER: A novel robotic meat factory cell platform

   8 citations · 2024
3. 3
   Deep learning model for automatic limb detection and gripping in a novel meat factory cell

   2 citations · 2024
4. 4
   Estimation of the pig’s limb orientation and gripping points based on the pose estimation deep neural networks

   2 citations · 2022

Key Collaborators

Contact & Links