Papers
4
Total Citations
24
H-Index
4
About
Artem Lenskiy’s research bridges the gap between abstract programming concepts and tangible, hands-on learning through robotics. His key contributions center on educational technology and autonomous mobile robot navigation. In his most cited work, “Educational platform for learning programming via controlling mobile robots” (2014, 8 citations), Lenskiy proposed a mobile robot platform built on the Robot Operating System (ROS). This platform was designed to make computer science courses more engaging by replacing traditional console-based exercises with real-world robot control, offering a bundle of smart engineering solutions that set it apart from other educational robotics projects. His related work, “Mobile Robot Platform for Improving Experience of Learning Programming Languages” (2014, 5 citations), further emphasizes the need to move beyond tedious console interfaces, particularly for C language courses. Beyond education, Lenskiy has advanced autonomous navigation with “Mobile Robot Navigation Using Reinforcement Learning Based on Neural Network with Short Term Memory” (2011, 7 citations) and “Terrain images segmentation in infra-red spectrum for autonomous robot navigation” (2010, 4 citations), tackling visual perception challenges for military and planetary rovers. With a total of 24 citations across his top papers, Lenskiy’s work demonstrates a focused impact on making programming education more interactive and on enabling smarter, more autonomous robots.
Research Focus
Key Achievements
Top Papers
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