activity
20242026
most citedA Multi-Simulation Approach with Model Predictive Control for Anafi Drones

1 citations · 1 across the 6 of their papers we have counts for

collaborators

7 papers

cs.CV2026

Needles in a Raystack: Ultra-Sparse LiDAR Occupancy Detection for Bat Tracks

Nico Klar, Pankaj Rana, Nizam Gifary +2

Monitoring flying animals is important for understanding and protecting biodiversity, but nocturnal species such as bats are difficult to observe in the field. Using LiDAR, bat mov…

eess.SY2026

An integrated interpretable control effectiveness learning and nonlinear control allocation methodology for overactuated aircraft

Umut Demir, Aamir Ahmad, Walter Fichter +1

Nonlinear dynamics and the strong couplings that arise between multiple effectors undermine the assumptions behind conventional, linear control allocation techniques. When flight e…

cs.RO2026

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…

cs.RO2025

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…

cs.CV2025

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…

cs.RO2025★ 1 cited

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…

cs.RO2024

Airship Formations for Animal Motion Capture and Behavior Analysis

Eric Price, Aamir Ahmad

Using UAVs for wildlife observation and motion capture offers manifold advantages for studying animals in the wild, especially grazing herds in open terrain. The aerial perspective…