Site Map

• 1.1. Introduction
  • Probability an alternative to logic
  • A need for a new computing paradigm
  • A need for a new modeling methodology
  • ProBT® toolbox
• 1.2. Book 1: Bayesian Programming
  • Summary
  • How to buy it
  • How to get ProBT®
  • Forum: Bayesian programming book
• 1.3. Book 2: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
  • 1.3.a. Presentation
    • Summary
    • Table Of Content
    • Sample chapter : Basic Concepts of Bayesian Programming
    • How to buy it?
  • 1.3.b. Supplementary material
    • How to get ProBT®
    • Robotics videos
      • Chapter 2: Khepera learning to push objects
      • Chapter 2: Khepera pushing objects
      • Chapter 2: Khepra following contours
      • Chapter 2: Khepra homing
      • Chapter 2: Khepra in a nightwatchman task
      • Chapter 3: Cycab navigating autonomously on a parking lot
      • Chapter 3: CyCab learning to follow a sensori-motor trajectory
      • Chapter 4: Cycab avoiding occulted obstacles using the BOF
      • Chapter 4: Using the BOF to detect pedestrians
      • Chapter 4: Using the BOF for car detection and tracking
      • Chapter 5: Exploring indoor environment
      • Chapter 5: Exploring outdoor environment
      • Chapter 8: Robot action selection and attention focusing
      • Chapter 11 - Bot playing autonomously after 10 minutes of training
• 1.4. ProBT®
  • 1.4.a. Presentation
    • Our approach
    • ProBT®, what is it?
  • 1.4.b. Documentation
    • A short introduction to ProBT®
    • Book 1: Bayesian Programming
    • Book 2: Probabilistic Reasoning and Decision Making in Sensory-Motor Systems
• 1.5. Bayesian Cognition
  • 1.5.a. WORKSHOP: Paris, January 16 - 18, 2006
    • Speakers
    • Schedule
    • Organization
    • Location & venue
    • Participants
  • 1.5.b. WINTER SCHOOL: Chamonix, France, January 6 – 11, 2008
    • Program
    • List of lecturers
    • Practical information
    • Contact
    • Registration

• 2.1. Research subjects in details
  • Bayesian Models for Video Games
  • Bayesian modeling of sensori-motor loop: an application to handwriting
  • EEG Error-Related Potentials Detection With A Bayesian Filter
  • Bayesian models of eye movement selection with retinotopic maps
  • Bayesian learning : foundations, method and applications.
  • Playing to train your video game avatar
  • Perception of shape from motion
  • Bayesian Approach to Action Selection and Attention Focusing. An Application in Autonomous Robot Programming.
  • Building a talking baby robot: A contribution to speech acquisition and evolution
  • Perceptual navigation around a sensory-motor trajectory
  • The Bayesian map – A hierarchical probabilistic model for mobile robot navigation.
  • Bayesian Occupancy Filtering (BOF) for multi-Target tracking: an automotive application
  • A robotic CAD system using a Bayesian framework
  • Bayesian Robot Programming
  • Contingent representation : Toward a reconciliation of functional and structural approaches to robot autonomy
• 2.2. Publications
  • 2.2.a. Selection of Papers
    • Bayesian Occupancy Filtering for Multitarget Tracking: an Automotive Application
    • Building a talking baby robot : A contribution to the study of speech acquisition and evolution
    • The CyCab: a car-like robot navigating autonomously and safely among pedestrians
    • Teaching Bayesian Behaviours to Video Game Characters
    • Bayesian Robot Programming
    • Survey: Probabilistic Methodology and Techniques for Artefact Conception and Development
    • The Design and Implementation of a Bayesian CAD Modeler for Robotic Applications
    • A Robotic CAD System using a Bayesian Framework
    • Interprétation ou Description (I) : Proposition pour une théorie probabiliste des systèmes cognitifs sensori-moteurs
    • Interprétation ou Description (II) : Fondements mathématiques de l’approche F+D
    • The Ariadne’s Clew Algorithm
  • 2.2.b. PhD theses
    • Bayesian learning : foundations, method and applications.
    • Fondations, méthode et applications de l’apprentissage bayésient.
    • Programmation et apprentissage bayésien de comportements pour des personnages synthétiques. Application aux personnages de jeux (...)
    • Programmation et apprentissage bayésien de comportements pour des personnages synthétiques. Application aux personnages de jeux (...)
    • Approche Bayésienne pour la Sélection de l’Action et la Focalisation de l’Attention. Application à la Programmation de Robots (...)
    • Approche Bayésienne pour la Sélection de l’Action et la Focalisation de l’Attention. Application à la Programmation de Robots (...)
    • Bayesian Approach to Action Selection and Attention Focusing. An Application in Autonomous Robot Programming.
    • Navigation intentionnelle d’un robot mobile
    • Modèle bayésien pour l’analyse multimodale d’environnements dynamiques et encombrés : Application à l’assistance à la conduite en milieu (...)
    • Programmation bayesienne des bras manipulateurs
    • La carte bayésienne : un modèle probabiliste hiérarchique pour la navigation en robotique mobile
    • The Bayesian map - A hierarchical probabilistic model for mobile robot navigation

Articles

• ProBayes

• 4.1. Key People
  • 4.1.a. Ahuactzin Juan-Manuel
    • Summary
    • bibliography
  • 4.1.b. Bessière Pierre
    • Summary
    • Bibliography
  • 4.1.c. Mazer Emmanuel
    • Bibliography
  • 4.1.d. Mekhnacha Kamel
    • Bibliography
• 4.2. PhD students on Bayesian Programming (past end present)
  • 4.2.a. Colas Francis
    • Bibliography
  • 4.2.b. Coué Christophe
    • Bibliography
  • 4.2.c. Danghautier Pierre
    • Bibliography
  • 4.2.d. Dedieu Eric
    • Bibliography
  • 4.2.e. Diard Julien
    • Homepage
    • Bibliography
  • 4.2.f. Garcia Ruben
    • Bibliography
  • 4.2.g. Koike Carla
    • Homepage
    • Bibliography
  • 4.2.h. Le Hy Ronan
    • Bibliography
  • 4.2.i. Lebeltel Olivier
    • Bibliography
  • 4.2.j. Pradalier Cédric
    • Bibliography
  • 4.2.k. Serkhane Jihène
    • Homepage
    • Bibliography

Articles

• Contact