2 citations · 3 across the 13 of their papers we have counts for
13 papers · 1 filter
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…
AgenticRL: Agentic Reinforcement Learning with Self-Refinement for Complex UAV Navigation
Roohan Ahmed Khan, Yasheerah Yaqoot, Amir Atef Habel +2
Deep reinforcement learning enables autonomous robots to learn complex navigation tasks, but still relies heavily on time consuming manual reward design and fine tuning. Existing a…
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…
HumanoidVLM: Vision-Language-Guided Impedance Control for Contact-Rich Humanoid Manipulation
Yara Mahmoud, Yasheerah Yaqoot, Miguel Altamirano Cabrera +1
Humanoid robots must adapt their contact behavior to diverse objects and tasks, yet most controllers rely on fixed, hand-tuned impedance gains and gripper settings. This paper intr…
SwarmVLM: VLM-Guided Impedance Control for Autonomous Navigation of Heterogeneous Robots in Dynamic Warehousing
Malaika Zafar, Roohan Ahmed Khan, Faryal Batool +5
With the growing demand for efficient logistics, unmanned aerial vehicles (UAVs) are increasingly being paired with automated guided vehicles (AGVs). While UAVs offer the ability t…
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…
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…
ImpedanceGPT: VLM-driven Impedance Control of Swarm of Mini-drones for Intelligent Navigation in Dynamic Environment
Faryal Batool, Yasheerah Yaqoot, Malaika Zafar +4
Swarm robotics plays a crucial role in enabling autonomous operations in dynamic and unpredictable environments. However, a major challenge remains ensuring safe and efficient navi…
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…
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…
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…