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Fully autonomous control of ultra-light indoor airplanes has not yet been achieved because the strong limitations on the kind of sensors that can be embedded make it difficult to obtain good estimations of altitude. We propose to revisit altitude control b ...
This doctoral thesis deals with an open subproblem of robot navigation, namely simultaneous localization and mapping (SLAM) in three-dimensional space. The goal is to develop a system which is capable of localizing a mobile robot in a reliable way and at t ...
Up to now, only a few collective or modular robot systems have proven capable of letting separate and autonomous units, or groups of units, self-assemble. In each case, ad hoc control algorithms have been developed. The aim of this paper is to show that a ...
This article illustrates the methods and results of two sets of experiments in which a group of mobile robots, called s-bots, are required to physically connect to each other, that is, to self-assemble, to cope with environmental conditions that prevent th ...
In this paper, we present a stereovision algorithm for real-time 6DoF ego-motion estimation, which integrates normalized cross-correlation-based feature tracking and 3D stereo information in the well-known Iterative Closest Point (ICP) scheme. The proposed ...
Odor perception may be considered from different perspectives: the physicochemical properties of odorants and target surfaces of interest, the biological aspects of electing odorant molecules by odorant receptors and their related downstream cellular signa ...
This thesis is about topological navigation, more precisely about space representation, perception, localization and mapping. All these elements are needed in order to obtain a robust and reliable framework for navigation. This is essential in order to mov ...
This paper presents a navigation framework which enables multiple mobile robots to attain individual goals, coordinate their actions and work safely and reliably in a highly dynamic environment. We give an overview of the framework architecture, its layeri ...
This paper presents a novel scheme for fast color invariant ball detection in the RoboCup context. Edge filtered camera images serve as an input for an Ada Boost learning procedure that constructs a cascade of classification and regression trees (CARTs). Our ...
This paper presents a localization algorithm for indoor environments. The environmental model is topological and the approach describes how a multimodal perception increases the reliability for the topological localization problem for mobile robots, by usi ...