Maksym Manko

National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”, Universidad de Granada

Papers

Total Citations

H-Index

About

Maksym Manko is a robotics researcher whose work sits at the intersection of computer vision, 3D reconstruction, and agricultural automation. His primary research areas include multi-camera pose estimation, deep learning for object detection, and robotic manipulation in complex, unstructured environments. Manko’s most significant contributions lie in advancing automation for the meat processing industry, where he has developed novel solutions to replace labour-intensive manual tasks. His highly cited 2022 paper on RGB-D multi-camera pose estimation (14 citations) laid critical groundwork for enabling robots to perceive and navigate their surroundings with greater accuracy. Building on this, Manko is a key contributor to the RoBUTCHER project, a pioneering robotic Meat Factory Cell platform designed for autonomous pork processing. His deep learning models for automatic limb detection and gripping—detailed in two subsequent papers—demonstrate a practical application of pose estimation and neural networks to identify and manipulate pig carcass limbs. With a total of 26 citations across his most-cited works, Manko is establishing himself as a leading voice in the niche but vital field of robotic meat processing, directly addressing sustainability challenges in global food production.