14 citations · 45 across the 25 of their papers we have counts for
27 papers
AgenticSwarm: Semantic Perception and Adaptive Task Allocation for Heterogeneous Multi-UAV Missions
Muhammad Ahsan Mustafa, Yasheerah Yaqoot, Faryal Batool +3
Multi UAV missions in complex environments require the system to understand both the surrounding scene and the intent of a human operator while maintaining feasible task allocation…
Guided Diffusion with Distilled Vision-Language Reliability for Aerial Navigation
Ivan Valuev, Iana Zhura, Valerii Serpiva +2
Autonomous UAV navigation is conventionally solved by pipelines that separate perception, mapping, and planning into distinct stages, which propagates errors, accumulates latency,…
AgenticDiffusion: Multi-View Reasoning with View-Conditioned Diffusion Planning for Vision-Based UAV Navigation
Faryal Batool, Muhammad Ahsan Mustafa, Fawad Mehboob +2
Vision-based UAV navigation becomes challenging when navigation targets are distributed across complementary camera views and cannot be reliably observed from a single viewpoint. W…
DreamToNav: Generalizable Navigation for Robots via Generative Video Planning
Valerii Serpiva, Jeffrin Sam, Chidera Simon +4
We present DreamToNav, a novel autonomous robot framework that uses generative video models to enable intuitive, human-in-the-loop control. Instead of relying on rigid waypoint nav…
DiffusionCinema: Text-to-Aerial Cinematography
Valerii Serpiva, Artem Lykov, Jeffrin Sam +2
We propose a novel Unmanned Aerial Vehicles (UAV) assisted creative capture system that leverages diffusion models to interpret high-level natural language prompts and automaticall…
HumanDiffusion: A Vision-Based Diffusion Trajectory Planner with Human-Conditioned Goals for Search and Rescue UAV
Faryal Batool, Iana Zhura, Valerii Serpiva +4
Reliable human--robot collaboration in emergency scenarios requires autonomous systems that can detect humans, infer navigation goals, and operate safely in dynamic environments. T…
EmbodiedDiffusion: End-to-End Traversability-Guided Visual Diffusion for Heterogeneous Robot Navigation
Iana Zhura, Sausar Karaf, Faryal Batool +7
Visual traversability estimation is central to autonomous navigation, yet most approaches either rely on prompt-driven Vision-Language Model (VLM) or decouple traversability from t…
FlightDiffusion: Revolutionising Autonomous Drone Training with Diffusion Models Generating FPV Video
Valerii Serpiva, Artem Lykov, Faryal Batool +3
We present FlightDiffusion, a diffusion-model-based framework for training autonomous drones from first-person view (FPV) video. Our model generates realistic video sequences from…
PhysicalAgent: Towards General Cognitive Robotics with Foundation World Models
Artem Lykov, Jeffrin Sam, Hung Khang Nguyen +6
We introduce PhysicalAgent, an agentic framework for robotic manipulation that integrates iterative reasoning, diffusion-based video generation, and closed-loop execution. Given a…
VLH: Vision-Language-Haptics Foundation Model
Luis Francisco Moreno Fuentes, Muhammad Haris Khan, Miguel Altamirano Cabrera +5
We present VLH, a novel Visual-Language-Haptic Foundation Model that unifies perception, language, and tactile feedback in aerial robotics and virtual reality. Unlike prior work th…
FlyHaptics: Flying Multi-contact Haptic Interface
Luis Moreno, Miguel Altamirano Cabrera, Muhammad Haris Khan +4
This work presents FlyHaptics, an aerial haptic interface tracked via a Vicon optical motion capture system and built around six five-bar linkage assemblies enclosed in a lightweig…
RaceVLA: VLA-based Racing Drone Navigation with Human-like Behaviour
Valerii Serpiva, Artem Lykov, Artyom Myshlyaev +4
RaceVLA presents an innovative approach for autonomous racing drone navigation by leveraging Visual-Language-Action (VLA) to emulate human-like behavior. This research explores the…
CognitiveDrone: A VLA Model and Evaluation Benchmark for Real-Time Cognitive Task Solving and Reasoning in UAVs
Artem Lykov, Valerii Serpiva, Muhammad Haris Khan +5
This paper introduces CognitiveDrone, a novel Vision-Language-Action (VLA) model tailored for complex Unmanned Aerial Vehicles (UAVs) tasks that demand advanced cognitive abilities…
AttentionSwarm: Reinforcement Learning with Attention Control Barier Function for Crazyflie Drones in Dynamic Environments
Grik Tadevosyan, Valerii Serpiva, Aleksey Fedoseev +6
We introduce AttentionSwarm, a novel benchmark designed to evaluate safe and efficient swarm control in a dynamic drone racing scenario. Central to our approach is the Attention Mo…
AgilePilot: DRL-Based Drone Agent for Real-Time Motion Planning in Dynamic Environments by Leveraging Object Detection
Roohan Ahmed Khan, Valerii Serpiva, Demetros Aschalew +2
Autonomous drone navigation in dynamic environments remains a critical challenge, especially when dealing with unpredictable scenarios including fast-moving objects with rapidly ch…
SafeSwarm: Decentralized Safe RL for the Swarm of Drones Landing in Dense Crowds
Grik Tadevosyan, Maksim Osipenko, Demetros Aschu +5
This paper introduces a safe swarm of drones capable of performing landings in crowded environments robustly by relying on Reinforcement Learning techniques combined with Safe Lear…
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…
GazeRace: Revolutionizing Remote Piloting with Eye-Gaze Control
Issatay Tokmurziyev, Valerii Serpiva, Alexey Fedoseev +2
This paper presents GazeRace, a novel system that leverages eye-tracking technology for intuitive drone control. Using the MediaPipe library, the system translates eye movements in…
OmniRace: 6D Hand Pose Estimation for Intuitive Guidance of Racing Drone
Valerii Serpiva, Aleksey Fedoseev, Sausar Karaf +2
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, it is the fir…
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…
Multi-sensor large-scale dataset for multi-view 3D reconstruction
Oleg Voynov, Gleb Bobrovskikh, Pavel Karpyshev +13
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: smar…
CobotAR: Interaction with Robots using Omnidirectionally Projected Image and DNN-based Gesture Recognition
Nazarova Elena, Sautenkov Oleg, Altamirano Cabrera Miguel +4
Several technological solutions supported the creation of interfaces for Augmented Reality (AR) multi-user collaboration in the last years. However, these technologies require the…
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…
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…