Génie informatique

This video addresses sensing technologies. Sensing technologies is one of the key functions for autonomous robots. Sensing is performed using various internal and external sensors.

In this video we want to apply the observability rank criterion to understand the observability properties of the system that we saw in the previous videos.

In this video we will review the base filter and we will study a particular instance of the Bayesian filter called Hidden Markov models which is a discrete version of a Bayesian filter.

L’évolution des technologies d’observation et de modélisation a joué un rôle central dans l’accroissement des connaissances sur le fonctionnement des océans ou dans le développement des activités

This video addresses sensing technology, and focuses on robot control and human-robot interaction applications.

In this video we discuss a fundamental issue which arises when we deal with an estimation problem: understanding if the system contains enough information to perform the estimation of the state.

In this video we are going to apply the concepts we have reviewed in the video 5.4 into real trajectories.

This video presents the basic technologies for navigation in dynamic human environments. The objective is to achieve goal oriented navigation in open, dynamic and uncertain environments populated

In this video, we discuss an automatic method which is analytical and allows us to answer the question if a state is observable or not: this method is the Observability Rank Criterion which has

In video 5.5 we have defined an HMM in Python. In this video we are going to learn how to use it to estimate and predict motion.

This video introduces intelligent vehicles and presents more specifically the context and a state of the art.

This video will show how to describe Bayesian occupancy filter concept.