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Valerii Serpiva

4 accepted papers

2026

FlightDiffusion: Revolutionizing Autonomous Drone Training with Diffusion Model Generating FPV Video

Valerii Serpiva, Artem Lykov, Faryal Batool, Vladislav Kozlovskiy, Miguel Altamirano Cabrera, Dzmitry Tsetserukou
ICRA 2026poster

We present FlightDiffusion, a diffusion-based framework for training autonomous drones from first-person-view (FPV) video. The model generates FPV video sequences from a single frame and a text prompt, and derives corresponding state-action trajectories for task-conditioned navigation. FlightDiffusi…

Cited by 0Scholar ↗
2025

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

Artem Lykov, Miguel Altamirano Cabrera, Mikhail Konenkov, Valerii Serpiva, Koffivi Fidèle Gbagbe, Ali Alabbas +5
IROS 2025

This paper presents the concept of Industry 6.0, which introduces the world’s first fully automated production system that autonomously handles the entire product design and manufacturing process based on user-provided natural language descriptions. By leveraging generative AI, the system automates

Cited by 13Source ↗Scholar ↗
2024

OmniRace: 6D Hand Pose Estimation for Intuitive Guidance of Racing Drone

Valerii Serpiva, Aleksey Fedoseev, Sausar Karaf, Ali Alridha Abdulkarim, Dzmitry Tsetserukou
IROS 2024poster

This paper presents the OmniRace approach to controlling a racing drone with 6-degree of freedom (DoF) hand pose estimation and gesture recognition. To our knowledge, this is the first technology enabling low-level control of high-speed drones through gestures. OmniRace employs a gesture interface b…

Cited by 4Source ↗code ↗Scholar ↗
2023

Multi-Sensor Large-Scale Dataset for Multi-View 3D Reconstruction

Oleg Voynov, Gleb Bobrovskikh, Pavel Karpyshev, Saveliy Galochkin, Andrei-Timotei Ardelean, Arseniy Bozhenko +10
CVPR 2023poster

We present a new multi-sensor dataset for multi-view 3D surface reconstruction. It includes registered RGB and depth data from sensors of different resolutions and modalities: smartphones, Intel RealSense, Microsoft Kinect, industrial cameras, and structured-light scanner. The scenes are selected to…

Cited by 12Source ↗PDF ↗Scholar ↗