47 citations · 255 across the 195 of their papers we have counts for
17 papers · 2 filters
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…
HaptiCharger: Robotic Charging of Electric Vehicles Based on Human Haptic Patterns
Oussama Alyounes, Miguel Altamirano Cabrera, Dzmitry Tsetserukou
The growing demand for electric vehicles requires the development of automated car charging methods. At the moment, the process of charging an electric car is completely manual, an…
PolyMerge: A Novel Technique aimed at Dynamic HD Map Updates Leveraging Polylines
Mohamed Sayed, Stepan Perminov, Dzmitry Tsetserukou
Currently, High-Definition (HD) maps are a prerequisite for the stable operation of autonomous vehicles. Such maps contain information about all static road objects for the vehicle…
TeslaCharge: Smart Robotic Charger Driven by Impedance Control and Human Haptic Patterns
Oussama Alyounes, Miguel Altamirano Cabrera, Dzmitry Tsetserukou
The growing demand for electric vehicles requires the development of automated car charging methods. At the moment, the process of charging an electric car is completely manual, an…
DNFOMP: Dynamic Neural Field Optimal Motion Planner for Navigation of Autonomous Robots in Cluttered Environment
Maksim Katerishich, Mikhail Kurenkov, Sausar Karaf +2
Motion planning in dynamically changing environments is one of the most complex challenges in autonomous driving. Safety is a crucial requirement, along with driving comfort and sp…
NeuroSwarm: Multi-Agent Neural 3D Scene Reconstruction and Segmentation with UAV for Optimal Navigation of Quadruped Robot
Iana Zhura, Denis Davletshin, Nipun Dhananjaya Weerakkodi Mudalige +3
Quadruped robots have the distinct ability to adapt their body and step height to navigate through cluttered environments. Nonetheless, for these robots to utilize their full poten…
AirTouch: Towards Safe Human-Robot Interaction Using Air Pressure Feedback and IR Mocap System
Viktor Rakhmatulin, Denis Grankin, Mikhail Konenkov +4
The growing use of robots in urban environments has raised concerns about potential safety hazards, especially in public spaces where humans and robots may interact. In this paper,…
MorphoLander: Reinforcement Learning Based Landing of a Group of Drones on the Adaptive Morphogenetic UAV
Sausar Karaf, Aleksey Fedoseev, Mikhail Martynov +3
This paper focuses on a novel robotic system MorphoLander representing heterogeneous swarm of drones for exploring rough terrain environments. The morphogenetic leader drone is cap…
ArUcoGlide: a Novel Wearable Robot for Position Tracking and Haptic Feedback to Increase Safety During Human-Robot Interaction
Ali Alabbas, Miguel Altamirano Cabrera, Oussama Alyounes +1
The current capabilities of robotic systems make human collaboration necessary to accomplish complex tasks effectively. In this work, we are introducing a framework to ensure safet…
GHACPP: Genetic-based Human-Aware Coverage Path Planning Algorithm for Autonomous Disinfection Robot
Stepan Perminov, Ivan Kalinov, Dzmitry Tsetserukou
Numerous mobile robots with mounted Ultraviolet-C (UV-C) lamps were developed recently, yet they cannot work in the same space as humans without irradiating them by UV-C. This pape…
POA: Passable Obstacles Aware Path-planning Algorithm for Navigation of a Two-wheeled Robot in Highly Cluttered Environments
Alexander Petrovsky, Yomna Youssef, Kirill Myasoedov +4
This paper focuses on Passable Obstacles Aware (POA) planner - a novel navigation method for two-wheeled robots in a highly cluttered environment. The navigation algorithm detects…
MorphoArms: Morphogenetic Teleoperation of Multimanual Robot
Mikhail Martynov, Zhanibek Darush, Miguel Altamirano Cabrera +2
Nowadays, there are few unmanned aerial vehicles (UAVs) capable of flying, walking and grasping. A drone with all these functionalities can significantly improve its performance in…
LLM-BRAIn: AI-driven Fast Generation of Robot Behaviour Tree based on Large Language Model
Artem Lykov, Dzmitry Tsetserukou
This paper presents a novel approach in autonomous robot control, named LLM-BRAIn, that makes possible robot behavior generation, based on operator's commands. LLM-BRAIn is a trans…
Hierarchical Whole-body Control of the cable-Suspended Aerial Manipulator endowed with Winch-based Actuation
Yuri Sarkisov, Andre Coelho, Maihara Santos +4
During operation, aerial manipulation systems are affected by various disturbances. Among them is a gravitational torque caused by the weight of the robotic arm. Common propeller-b…
Hierarchical Visual Localization Based on Sparse Feature Pyramid for Adaptive Reduction of Keypoint Map Size
Andrei Potapov, Mikhail Kurenkov, Pavel Karpyshev +4
Visual localization is a fundamental task for a wide range of applications in the field of robotics. Yet, it is still a complex problem with no universal solution, and the existing…
SwipeBot: DNN-based Autonomous Robot Navigation among Movable Obstacles in Cluttered Environments
Nikolay Zherdev, Mikhail Kurenkov, Kristina Belikova +1
In this paper, we propose a novel approach to wheeled robot navigation through an environment with movable obstacles. A robot exploits knowledge about different obstacle classes an…
SwarmGear: Heterogeneous Swarm of Drones with Reconfigurable Leader Drone and Virtual Impedance Links for Multi-Robot Inspection
Zhanibek Darush, Mikhail Martynov, Aleksey Fedoseev +2
The continuous monitoring by drone swarms remains a challenging problem due to the lack of power supply and the inability of drones to land on uneven surfaces. Heterogeneous swarms…