5 citations · 25 across the 29 of their papers we have counts for
11 papers · 1 filter
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…
METDrive: Multi-modal End-to-end Autonomous Driving with Temporal Guidance
Ziang Guo, Xinhao Lin, Zakhar Yagudin +4
Multi-modal end-to-end autonomous driving has shown promising advancements in recent work. By embedding more modalities into end-to-end networks, the system's understanding of both…
FADet: A Multi-sensor 3D Object Detection Network based on Local Featured Attention
Ziang Guo, Zakhar Yagudin, Selamawit Asfaw +2
Camera, LiDAR and radar are common perception sensors for autonomous driving tasks. Robust prediction of 3D object detection is optimally based on the fusion of these sensors. To e…
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…
Robots Can Feel: LLM-based Framework for Robot Ethical Reasoning
Artem Lykov, Miguel Altamirano Cabrera, Koffivi Fidèle Gbagbe +1
This paper presents the development of a novel ethical reasoning framework for robots. "Robots Can Feel" is the first system for robots that utilizes a combination of logic and hum…
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…
Bi-VLA: Vision-Language-Action Model-Based System for Bimanual Robotic Dexterous Manipulations
Koffivi Fidèle Gbagbe, Miguel Altamirano Cabrera, Ali Alabbas +3
This research introduces the Bi-VLA (Vision-Language-Action) model, a novel system designed for bimanual robotic dexterous manipulation that seamlessly integrates vision for scene…
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…
DogSurf: Quadruped Robot Capable of GRU-based Surface Recognition for Blind Person Navigation
Artem Bazhenov, Vladimir Berman, Sergei Satsevich +4
This paper introduces DogSurf - a newapproach of using quadruped robots to help visually impaired people navigate in real world. The presented method allows the quadruped robot to…
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…
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…