13 citations · 16 across the 15 of their papers we have counts for
16 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…
UAV-CodeAgents: Scalable UAV Mission Planning via Multi-Agent ReAct and Vision-Language Reasoning
Oleg Sautenkov, Yasheerah Yaqoot, Muhammad Ahsan Mustafa +5
We present UAV-CodeAgents, a scalable multi-agent framework for autonomous UAV mission generation, built on large language and vision-language models (LLMs/VLMs). The system levera…
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…
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…
UAV-VLRR: Vision-Language Informed NMPC for Rapid Response in UAV Search and Rescue
Yasheerah Yaqoot, Muhammad Ahsan Mustafa, Oleg Sautenkov +3
Emergency search and rescue (SAR) operations often require rapid and precise target identification in complex environments where traditional manual drone control is inefficient. In…
UAV-VLPA*: A Vision-Language-Path-Action System for Optimal Route Generation on a Large Scales
Oleg Sautenkov, Aibek Akhmetkazy, Yasheerah Yaqoot +4
The UAV-VLPA* (Visual-Language-Planning-and-Action) system represents a cutting-edge advancement in aerial robotics, designed to enhance communication and operational efficiency fo…
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…
FlightAR: AR Flight Assistance Interface with Multiple Video Streams and Object Detection Aimed at Immersive Drone Control
Oleg Sautenkov, Selamawit Asfaw, Yasheerah Yaqoot +4
The swift advancement of unmanned aerial vehicle (UAV) technologies necessitates new standards for developing human-drone interaction (HDI) interfaces. Most interfaces for HDI, esp…
TiltXter: CNN-based Electro-tactile Rendering of Tilt Angle for Telemanipulation of Pasteur Pipettes
Miguel Altamirano Cabrera, Jonathan Tirado, Aleksey Fedoseev +4
The shape of deformable objects can change drastically during grasping by robotic grippers, causing an ambiguous perception of their alignment and hence resulting in errors in robo…
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,…
CobotTouch: AR-based Interface with Fingertip-worn Tactile Display for Immersive Operation/Control of Collaborative Robots
Sautenkov Oleg, Altamirano Cabrera Miguel, Rakhmatulin Viktor +1
Complex robotic tasks require human collaboration to benefit from their high dexterity. Frequent human-robot interaction is mentally demanding and time-consuming. Intuitive and eas…
DeepXPalm: Tilt and Position Rendering using Palm-worn Haptic Display and CNN-based Tactile Pattern Recognition
Altamirano Cabrera Miguel, Sautenkov Oleg, Tirado Jonathan +4
Telemanipulation of deformable objects requires high precision and dexterity from the users, which can be increased by kinesthetic and tactile feedback. However, the object shape c…
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…
CoboGuider: Haptic Potential Fields for Safe Human-Robot Interaction
Viktor Rakhmatulin, Miguel Altamirano Cabrera, Fikre Hagos +4
Modern industry still relies on manual manufacturing operations and safe human-robot interaction is of great interest nowadays. Speed and Separation Monitoring (SSM) allows close a…