10 papers
AgenticRL: Self-Refining Agentic Reinforcement Learning for Vision-Conditioned UAV Navigation
Roohan Ahmed Khan, Yasheerah Yaqoot, Amir Atef Habel +2
Deep reinforcement learning has shown strong potential for enabling autonomous robots to learn complex navigational tasks. However, its practical use still depends heavily on human…
AgenticDiffusion: Agentic Diffusion-based Path Planning for Vision-Based UAV Navigation
Faryal Batool, Muhammad Ahsan Mustafa, Fawad Mehboob +2
Indoor UAV navigation requires efficient exploration, scene understanding, and reliable trajectory execution under limited field-of-view observations. Existing vision-based navigat…
ImpedanceDiffusion: Diffusion-Based Global Path Planning for UAV Swarm Navigation with Generative Impedance Control
Faryal Batool, Yasheerah Yaqoot, Muhammad Ahsan Mustafa +3
Safe swarm navigation in cluttered indoor environment requires long-horizon planning, reactive obstacle avoidance, and adaptive compliance. We propose ImpedanceDiffusion, a hierarc…
Glove2UAV: A Wearable IMU-Based Glove for Intuitive Control of UAV
Amir Habel, Ivan Snegirev, Elizaveta Semenyakina +6
This paper presents Glove2UAV, a wearable IMU-glove interface for intuitive UAV control through hand and finger gestures, augmented with vibrotactile warnings for exceeding predefi…
HoverAI: An Embodied Aerial Agent for Natural Human-Drone Interaction
Yuhua Jin, Nikita Kuzmin, Georgii Demianchuk +6
Drones operating in human-occupied spaces suffer from insufficient communication mechanisms that create uncertainty about their intentions. We present HoverAI, an embodied aerial a…
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…