5 papers
An integrated interpretable control effectiveness learning and nonlinear control allocation methodology for overactuated aircrafts
Umut Demir, Aamir Ahmad, Walter Fichter
Nonlinear dynamics and the strong couplings that arise between multiple effectors undermine the assumptions behind conventional, linear control allocation techniques. When flight e…
Network Distributed Multi-Agent Reinforcement Learning for Consensus Control of Quadcopters
Youssef Mahran, Zeyad Gamal, Aamir Ahmad +1
This paper proposes a Network Distributed Multi-Agent Reinforcement Learning (ND-MARL) framework for quadcopter consensus control. Compared to conventional multi-agent MARL formula…
Autonomous Docking of Multi-Rotor UAVs on Blimps under the Influence of Wind Gusts
Pascal Goldschmid, Aamir Ahmad
Multi-rotor UAVs face limited flight time due to battery constraints. Autonomous docking on blimps with onboard battery recharging and data offloading offers a promising solution f…
BirdRecorder's AI on Sky: Safeguarding birds of prey by detection and classification of tiny objects around wind turbines
Nico Klar, Nizam Gifary, Felix P. G. Ziegler +4
The urgent need for renewable energy expansion, particularly wind power, is hindered by conflicts with wildlife conservation. To address this, we developed BirdRecorder, an advance…
A Multi-Simulation Approach with Model Predictive Control for Anafi Drones
Pascal Goldschmid, Aamir Ahmad
Simulation frameworks are essential for the safe development of robotic applications. However, different components of a robotic system are often best simulated in different enviro…