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Aamir Ahmad

7 papers hereh-index 11 citations7 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • middle author1
  • last author5

Across the 6 of 7 papers where every author was matched, so the position is known.

fields
  • cs.RO4
  • cs.CV2
  • eess.SY1
same name
  • Aamir Ahmad — 21 papers, h 18
  • Aamir Ahmad — 4 papers, h 2
  • Aamir Ahmad — 2 papers, h 2
  • Aamir Ahmad — 1 paper, h 1

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

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
Showing cs.ROShow all

4 papers · 1 filter

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.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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.