Introducing robots in human environments bring new challenges to robotics.
This video deals with technological evolutions of robotics and state of the art.
In this video I want to explain the steps that we have to follow in order to implement an extended Kalman filter in robotics.
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.
- LAUGIER Christian
1.0. Introduction 1.1. Socio-economic
context 1.2. Technological evolution of
& State of the Art 1.3. New challenges for Robotics
Environments 1.4. Decisional
& Control Architecture for Autonomous
Mobile Robots & IV 1.5. Sensing
Object Detection 1.6. Sensing
technologies: Robot Control & HRI 1.7. Basic technologies for Navigation
in Dynamic Human Environments 1.8. Intelligent Vehicles:
Context & State of the Art 1.9. Intelligent Vehicles: Technical
Challenges & Driving Skills
In this video, we want to discuss the case of a wheel encoders in 2D, and in particular the case of a robot equipped with a differential drive which is very popular in mobile robotics.
The objective of this course is to show how to program the new generation of mobile robots. The course is primarily intended to students with engineering or Masters Degree, but any person with a
In this part, we will talk about localization which is a fundamental problem that a robot has to be able to solve in order to accomplish almost any tasks. In particular, we will start by
Now that we have the equations of the Bayes filter, we need a method in order to implement in real cases these equations. So, in the following, I want to discuss two methods, which are commonly
DIU - Chirurgie - robotique - 2012 - Nancy - le mode simulateur Intervenant : CorlettRésumé : 4 janvier 2012L’auteur n’a pas transmis de conflit d’intérêt concernant les données diffusées dans cette