6 citations · 11 across the 15 of their papers we have counts for
15 papers
FlockDiffusion: Assignment-Conditioned Diffusion for Multi-Drone Task Allocation and Completion
Iana Zhura, Satenik Akopyan, Roohan Ahmed Khan +3
Autonomous multi-drone navigation requires fleets to service distributed objectives in cluttered environments under tight computational budgets. Efficient coordination depends on t…
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…
Adaptive SINDy: Residual Force System Identification Based UAV Disturbance Rejection
Fawad Mehboob, Amir Atef Habel, Roohan Ahmed Khan +3
The stability and control of Unmanned Aerial Vehicles (UAVs) in a turbulent environment is a matter of great concern. Devising a robust control algorithm to reject disturbances is…
GustPilot: A Hierarchical DRL-INDI Framework for Wind-Resilient Quadrotor Navigation
Amir Atef Habel, Roohan Ahmed Khan, Fawad Mehboob +2
Wind disturbances remain a key barrier to reliable autonomous navigation for lightweight quadrotors, where the rapidly varying airflow can destabilize both planning and tracking. T…
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…
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…
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…
NMPC-Lander: Nonlinear MPC with Barrier Function for UAV Landing on a Mobile Platform
Amber Batool, Faryal Batool, Roohan Ahmed Khan +3
Quadcopters are versatile aerial robots gaining popularity in numerous critical applications. However, their operational effectiveness is constrained by limited battery life and re…
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…
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…
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…
HetSwarm: Cooperative Navigation of Heterogeneous Swarm in Dynamic and Dense Environments through Impedance-based Guidance
Malaika Zafar, Roohan Ahmed Khan, Aleksey Fedoseev +2
With the growing demand for efficient logistics and warehouse management, unmanned aerial vehicles (UAVs) are emerging as a valuable complement to automated guided vehicles (AGVs).…
SwarmPath: Drone Swarm Navigation through Cluttered Environments Leveraging Artificial Potential Field and Impedance Control
Roohan Ahmed Khan, Malaika Zafar, Amber Batool +2
In the area of multi-drone systems, navigating through dynamic environments from start to goal while providing collision-free trajectory and efficient path planning is a significan…