Publication
Run-to-Run Disturbance Rejection for Feedforward Path Following of an Adaptively Controlled Unmanned Helicopter
Publications associées (35)
Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub
Felix Schürmann, Armando Romani, Michele Migliore, Luca Leonardo Bologna
To build biophysically detailed models of brain cells, circuits, and regions, a data-driven approach is increasingly being adopted. This helps to obtain a simulated activity that reproduces the experimentally recorded neural dynamics as faithfully as possi ...
2023Wind Defiant Morphing Drones
Dario Floreano, Charalampos Vourtsis, Victor Casas Rochel, William John Stewart
Intense winds are a challenge for vertical take-off and landing drones with wings. In particular, in the hovering regime, wings are sensitive to wind currents that can be detrimental to their operational and energetic performances. Tail-sitters are particu ...
2023Wind Estimation with Multirotor UAVs
Unmanned Aerial Vehicles (UAVs) have benefited from a tremendous increase in popularity over the past decade, which has inspired their application toward many novel and unique use cases. One of them is the use of UAVs in meteorological research, in particu ...
2022MaxwellNet: Physics-driven deep neural network training based on Maxwell's equations
Maxwell's equations govern light propagation and its interaction with matter. Therefore, the solution of Maxwell's equations using computational electromagnetic simulations plays a critical role in understanding light-matter interaction and designing optic ...
AIP Publishing2022Real-Time Nonlinear Model Predictive Control for Fast Mechatronic Systems
This thesis presents an efficient and extensible numerical software framework for real-time model-based control. We are motivated by complex and challenging mechatronic applications spanning from flight control of fixed-wing aircraft and thrust vector cont ...
EPFL2022Motivating Innovation: The Effect of Loss Aversion on the Willingness to Persist
We investigate the willingness of individuals to persist at exploration in the face of failure. Prior research suggests that the organization's "tolerance for failure" may motivate greater exploration by the individual. Little is known, however, about how ...
MIT Press2020Large-Eddy Simulations of the Steady Wintertime Antarctic Boundary Layer
Observations of two typical contrasting weakly stable and very stable boundary layers from the winter at Dome C station, Antarctica, are used as a benchmark for two centimetre-scale-resolution large-eddy simulations. By taking the Antarctic winter, the eff ...
2019Deep Drone Racing: From Simulation to Reality with Domain Randomization
Dynamically changing environments, unreliable state estimation, and operation under severe resource constraints are fundamental challenges for robotics, which still limit the deployment of small autonomous drones. We address these challenges in the context ...
2019Computational characteristics and hardware implications of brain tissue simulations
Understanding the link between the brain's anatomy and its function through computer
simulations of neural tissue models is a widely used approach in computational neuroscience.
This technique enables rapid prototyping and testing of hypotheses, allowing r ...
EPFL2019Application of a Point Estimate Method for incorporating the epistemic uncertainty in the seismic assessment of a masonry building
Several sources of uncertainty affect the assessment of existing buildings, including uncertainties associated with the material properties and the displacement capacity of the elements. In engineering practice, Monte Carlo simulations of the nonlinear sei ...
2018