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20232026
most citedIndustry 6.0: New Generation of Industry driven by Generative AI and Swarm of Heterogeneous Robots

3 citations · 10 across the 13 of their papers we have counts for

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Showing 2024Show all

7 papers · 1 filter

cs.RO2024★ 3 cited

Industry 6.0: New Generation of Industry driven by Generative AI and Swarm of Heterogeneous Robots

Artem Lykov, Miguel Altamirano Cabrera, Mikhail Konenkov +8

This paper presents the concept of Industry 6.0, introducing the world's first fully automated production system that autonomously handles the entire product design and manufacturi…

cs.RO2024

FlockGPT: Guiding UAV Flocking with Linguistic Orchestration

Artem Lykov, Sausar Karaf, Mikhail Martynov +4

This article presents the world's first rapid drone flocking control using natural language through generative AI. The described approach enables the intuitive orchestration of a f…

cs.CV2024★ 1 cited

HawkDrive: A Transformer-driven Visual Perception System for Autonomous Driving in Night Scene

Ziang Guo, Stepan Perminov, Mikhail Konenkov +1

Many established vision perception systems for autonomous driving scenarios ignore the influence of light conditions, one of the key elements for driving safety. To address this pr…

cs.RO2024★ 3 cited

VR-GPT: Visual Language Model for Intelligent Virtual Reality Applications

Mikhail Konenkov, Artem Lykov, Daria Trinitatova +1

The advent of immersive Virtual Reality applications has transformed various domains, yet their integration with advanced artificial intelligence technologies like Visual Language…

cs.RO2024★ 2 cited

VLM-Auto: VLM-based Autonomous Driving Assistant with Human-like Behavior and Understanding for Complex Road Scenes

Ziang Guo, Zakhar Yagudin, Artem Lykov +2

Recent research on Large Language Models for autonomous driving shows promise in planning and control. However, high computational demands and hallucinations still challenge accura…

cs.RO2024

CognitiveDog: Large Multimodal Model Based System to Translate Vision and Language into Action of Quadruped Robot

Artem Lykov, Mikhail Litvinov, Mikhail Konenkov +6

This paper introduces CognitiveDog, a pioneering development of quadruped robot with Large Multi-modal Model (LMM) that is capable of not only communicating with humans verbally bu…

cs.RO2024★ 1 cited

CognitiveOS: Large Multimodal Model based System to Endow Any Type of Robot with Generative AI

Artem Lykov, Mikhail Konenkov, Koffivi Fidèle Gbagbe +6

This paper introduces CognitiveOS, the first operating system designed for cognitive robots capable of functioning across diverse robotic platforms. CognitiveOS is structured as a…