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Hosameldin Awadalla Omer Mohamed

5 accepted papers

2026

Robust by Co-Design: CAD-to-Control Evolutionary Optimization of Jet-Powered Humanoids

RA-L 2026

This letter presents a co-design and optimization framework for improving robustness in an aerial humanoid equipped with variable turbine configurations. The approach integrates CAD-based modeling, domain randomization, and multi-objective evolutionary optimization to jointly explore turbine placeme

Cited by 0Source ↗Scholar ↗
2023

Online Non-linear Centroidal MPC for Humanoid Robots Payload Carrying with Contact-Stable Force Parametrization

ICRA 2023poster

In this paper we consider the problem of allowing a humanoid robot that is subject to a persistent disturbance, in the form of a payload-carrying task, to follow given planned footsteps. To solve this problem, we combine an online nonlinear centroidal Model Predictive Controller - MPC with a contact…

Cited by 9Source ↗code ↗Scholar ↗
2022

Momentum-Based Extended Kalman Filter for Thrust Estimation on Flying Multibody Robots

RA-L 2022

Effective control design of flying vehicles requires a reliable estimation of the propellers’ thrust forces to secure a successful flight. Direct measurements of thrust forces, however, are seldom available in practice and on-line thrust estimation usually follows from the application of fusion algo

Cited by 25Source ↗Scholar ↗
2022

Nonlinear Model Identification and Observer Design for Thrust Estimation of Small-scale Turbojet Engines

ICRA 2022poster

Jet-powered vertical takeoff and landing (VTOL) drones require precise thrust estimation to ensure adequate stability margins and robust maneuvering. Small-scale turbojets have become good candidates for powering heavy aerial drones. However, due to limited instrumentation available in these turboje…

Cited by 8Source ↗Scholar ↗
2020

Modeling, Identification and Control of Model Jet Engines for Jet Powered Robotics

RA-L 2020

The paper contributes towards the modeling, identification, and control of model jet engines. We propose a nonlinear, second order model in order to capture the model jet engines governing dynamics. The model structure is identified by applying sparse identification of nonlinear dynamics, and then t

Cited by 25Source ↗Scholar ↗