1 citations · 1 across the 12 of their papers we have counts for
13 papers
DIFF-IPPO: Diffusion-Based Informative Path Planning with Open-Vocabulary Belief Maps
Sausar Karaf, Oleg Sautenkov, Mikhail Martynov +1
Exploration and object search require robots to perceive their environment, identify regions of interest, and plan trajectories that improve target-detection likelihood or maximize…
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…
MorphoNavi: Aerial-Ground Robot Navigation with Object Oriented Mapping in Digital Twin
Sausar Karaf, Mikhail Martynov, Oleg Sautenkov +2
This paper presents a novel mapping approach for a universal aerial-ground robotic system utilizing a single monocular camera. The proposed system is capable of detecting a diverse…
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…
UAV-VLA: Vision-Language-Action System for Large Scale Aerial Mission Generation
Oleg Sautenkov, Yasheerah Yaqoot, Artem Lykov +7
The UAV-VLA (Visual-Language-Action) system is a tool designed to facilitate communication with aerial robots. By integrating satellite imagery processing with the Visual Language…
MorphoMove: Bi-Modal Path Planner with MPC-based Path Follower for Multi-Limb Morphogenetic UAV
Muhammad Ahsan Mustafa, Yasheerah Yaqoot, Mikhail Martynov +2
This paper discusses developments for a multi-limb morphogenetic UAV, MorphoGear, that is capable of both aerial flight and ground locomotion. A hybrid path planning algorithm base…
AirNeRF: 3D Reconstruction of Human with Drone and NeRF for Future Communication Systems
Alexey Kotcov, Maria Dronova, Vladislav Cheremnykh +2
In the rapidly evolving landscape of digital content creation, the demand for fast, convenient, and autonomous methods of crafting detailed 3D reconstructions of humans has grown s…
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…
MARLander: A Local Path Planning for Drone Swarms using Multiagent Deep Reinforcement Learning
Demetros Aschu, Robinroy Peter, Sausar Karaf +2
Achieving safe and precise landings for a swarm of drones poses a significant challenge, primarily attributed to conventional control and planning methods. This paper presents the…
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…
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…
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…
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…