activity
20202025
most citedDronePaint: Swarm Light Painting with DNN-based Gesture Recognition

14 citations · 30 across the 11 of their papers we have counts for

collaborators

12 papers

cs.RO2025

AnywhereVLA: Language-Conditioned Exploration and Mobile Manipulation

Konstantin Gubernatorov, Artem Voronov, Roman Voronov +4

We address natural language pick-and-place in unseen, unpredictable indoor environments with AnywhereVLA, a modular framework for mobile manipulation. A user text prompt serves as…

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.RO2023

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…

cs.RO2023

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…

cs.RO2022★ 1 cited

SwarmHive: Heterogeneous Swarm of Drones for Robust Autonomous Landing on Moving Robot

Ayush Gupta, Ahmed Baza, Ekaterina Dorzhieva +5

The paper focuses on a heterogeneous swarm of drones to achieve a dynamic landing of formation on a moving robot. This challenging task was not yet achieved by scientists. The key…

cs.RO2021

UltraBot: Autonomous Mobile Robot for Indoor UV-C Disinfection with Non-trivial Shape of Disinfection Zone

Nikita Mikhailovskiy, Alexander Sedunin, Stepan Perminov +2

The paper focuses on the development of an autonomous disinfection robot UltraBot to reduce COVID-19 transmission along with other harmful bacteria and viruses. The motivation behi…

cs.RO2021

UltraBot: Autonomous Mobile Robot for Indoor UV-C Disinfection

Stepan Perminov, Nikita Mikhailovskiy, Alexander Sedunin +4

The paper focuses on the development of the autonomous robot UltraBot to reduce COVID-19 transmission and other harmful bacteria and viruses. The motivation behind the research is…

cs.HC2021

SwarmPlay: Interactive Tic-tac-toe Board Game with Swarm of Nano-UAVs driven by Reinforcement Learning

Ekaterina Karmanova, Valerii Serpiva, Stepan Perminov +2

Reinforcement learning (RL) methods have been actively applied in the field of robotics, allowing the system itself to find a solution for a task otherwise requiring a complex deci…

cs.HC2021★ 3 cited

SwarmPlay: A Swarm of Nano-Quadcopters Playing Tic-tac-toe Board Game against a Human

Ekaterina Karmanova, Valerii Serpiva, Stepan Perminov +3

We present a new paradigm of games, i.e. SwarmPlay, where each playing component is presented by an individual drone that has its own mobility and swarm intelligence to win against…

cs.RO2021★ 14 cited

DronePaint: Swarm Light Painting with DNN-based Gesture Recognition

Valerii Serpiva, Ekaterina Karmanova, Aleksey Fedoseev +2

We propose a novel human-swarm interaction system, allowing the user to directly control a swarm of drones in a complex environment through trajectory drawing with a hand gesture i…

cs.RO2021

SwarmPaint: Human-Swarm Interaction for Trajectory Generation and Formation Control by DNN-based Gesture Interface

Valerii Serpiva, Ekaterina Karmanova, Aleksey Fedoseev +2

Teleoperation tasks with multi-agent systems have a high potential in supporting human-swarm collaborative teams in exploration and rescue operations. However, it requires an intui…

cs.RO2020★ 11 cited

Coupling of localization and depth data for mapping using Intel RealSense T265 and D435i cameras

Evgeny Tsykunov, Valery Ilin, Stepan Perminov +2

We propose to couple two types of Intel RealSense sensors (tracking T265 and depth D435i) in order to obtain localization and 3D occupancy map of the indoor environment. We impleme…