3 citations · 4 across the 5 of their papers we have counts for
5 papers
LoCal-RIO: Radar-Inertial Odometry with Loop-Closure IMU Bias Calibration
Ali Alridha Abdulkarim, Mikhail Litvinov, Dzmitry Tsetserukou +1
Millimeter-wave radar enables robust perception in visually degraded environments, yet radar-inertial estimation remains prone to drift: body-frame velocity measurements do not con…
SwarmVLM: VLM-Guided Impedance Control for Autonomous Navigation of Heterogeneous Robots in Dynamic Warehousing
Malaika Zafar, Roohan Ahmed Khan, Faryal Batool +5
With the growing demand for efficient logistics, unmanned aerial vehicles (UAVs) are increasingly being paired with automated guided vehicles (AGVs). While UAVs offer the ability t…
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…
LLM-MARS: Large Language Model for Behavior Tree Generation and NLP-enhanced Dialogue in Multi-Agent Robot Systems
Artem Lykov, Maria Dronova, Nikolay Naglov +6
This paper introduces LLM-MARS, first technology that utilizes a Large Language Model based Artificial Intelligence for Multi-Agent Robot Systems. LLM-MARS enables dynamic dialogue…