Papers
14
Total Citations
130
H-Index
6
About
Artem Lykov is a prolific robotics and artificial intelligence researcher whose work sits at the cutting edge of integrating large language models (LLMs) and vision-language-action (VLA) systems with autonomous robots. His research spans autonomous driving, aerial robotics, quadruped locomotion, bimanual manipulation, and human-robot interaction — united by a singular vision: enabling robots to understand and act upon natural language and visual inputs with human-like adaptability. Among his most influential contributions is the LLM-BRAIn framework, which pioneered LLM-driven behavior tree generation for autonomous robots, and the UAV-VLA system, which enables mission-scale aerial planning through satellite imagery and GPT integration. His CognitiveDog and CognitiveOS projects demonstrate remarkable ambition, endowing quadruped robots and diverse platforms alike with multimodal cognitive capabilities. His VLM-Auto work advances intelligent decision-making for complex autonomous driving scenarios, while Bi-VLA pushes the frontier of dexterous bimanual manipulation. With citations accumulating rapidly across his 2024–2025 publications — several already surpassing 20 citations within months of release — Lykov has established himself as a dynamic force in embodied AI research, with his Industry 6.0 concept pointing toward a bold, generative-AI-driven future of fully autonomous manufacturing.
Research Focus
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