Publications associées (37)

Seeking the new, learning from the unexpected: Computational models of surprise and novelty in the brain

Alireza Modirshanechi

Human babies have a natural desire to interact with new toys and objects, through which they learn how the world around them works, e.g., that glass shatters when dropped, but a rubber ball does not. When their predictions are proven incorrect, such as whe ...
EPFL2024

Investigations about the Chemistry of Tetraarylethene- and Iridium-Based Luminophores

Anastasia Gitlina

The work described in this thesis focuses on two classes of luminophores: tetraarylethene-based polymers and Ir(III) complexes with orthometalated ligands. Tetraarylethene-based polymers show aggregation-induced emission (AIE) and they are of interest for ...
EPFL2024

Feasibility Study and Preliminary Design of Lunar Reconnaissance Drone

Jean-Paul Richard Kneib, David Rodriguez Martinez, Erik Uythoven, Thomas Pfeiffer

With orbiting stations and ground bases planned to be built, we are yet to master the ability to explore long term and long range over areas of the Moon often characterised by an extreme topography, dauntingly low temperatures, and wedged with what are kno ...
2022

Feasibility analysis and preliminary design of a Lunar Reconnaissance Drone

This thesis presents the feasibility analysis and preliminary design of a new Lunar Reconnaissance Drone. The system’s objective, which is composed of the drone and a service station, is to assist a large-scale rover mission into low-light zones of the Moo ...
2022

Preliminary Design of a Lunar Reconnaissance Drone

Erik Uythoven, Thomas Pfeiffer

In this report, a preliminary design study of a compact lunar reconnaissance drone module which will assist exploration rovers is presented. It is designed to assist future exploratory rover missions in difficult environments such as PSRs or extreme topogr ...
2022

Graph Chatbot

Chattez avec Graph Search

Posez n’importe quelle question sur les cours, conférences, exercices, recherches, actualités, etc. de l’EPFL ou essayez les exemples de questions ci-dessous.

AVERTISSEMENT : Le chatbot Graph n'est pas programmé pour fournir des réponses explicites ou catégoriques à vos questions. Il transforme plutôt vos questions en demandes API qui sont distribuées aux différents services informatiques officiellement administrés par l'EPFL. Son but est uniquement de collecter et de recommander des références pertinentes à des contenus que vous pouvez explorer pour vous aider à répondre à vos questions.