Introduction to Estimation and Data fusion Hugh Durrant-Whyte Australian Centre for Field Robotics The University of Sydney [removed]

Source URL: www.acfr.usyd.edu.au

• Control theory
• Electronic engineering
• Linear filters
• Signal processing
• Kalman filter
• Data fusion
• Particle filter
• Sensor fusion
• Statistics
• Robot control
• Estimation theory

proceedings of the Workshop on Robot Manipulation: Sensing and Adapting to the Real World, 2007 Robotics: Science and Systems Conference, Atlanta, GA, June 30, [removed]Guiding Grasping with Proprioception and Markov

Source URL: www.eng.yale.edu

• Stochastic control
• Control theory
• Partially observable Markov decision process
• Markov model
• Markov decision process
• Robotics
• Robot
• Statistics
• Markov processes
• Dynamic programming

Measurement Sample Time Optimization for Human Motion Tracking/Capture Systems Greg Welch∗ The University of North Carolina at Chapel Hill B. Danette Allen†

Source URL: www.cs.unc.edu

• Measurement
• Signal processing
• Kalman filter
• Robot control
• ΔT
• Analog-to-digital converter
• Estimation theory
• Uncertainty
• Alpha beta filter
• Statistics
• Electronic engineering
• Science

10 percent SNA/ECP 2000 growth rates 60

Source URL: unstats.un.org

Localisation, Mapping and the Simultaneous Localisation and Mapping (SLAM) Problem Hugh Durrant-Whyte Australian Centre for Field Robotics The University of Sydney

Source URL: www.acfr.usyd.edu.au

• EKF SLAM
• XK
• Robot navigation
• Simultaneous localization and mapping
• Robot control

Multi-Modal Estimation with Kernel Embeddings for Learning Motion Models Lachlan McCalman1 , Simon O’Callaghan2 and Fabio Ramos3 Abstract— We present a novel estimation algorithm for filtering and regression with a n

Source URL: www-personal.acfr.usyd.edu.au

• Robot control
• Linear filters
• Markov models
• Particle filter
• Kalman filter
• Hidden Markov model
• Mixture model
• Gaussian function
• Bayesian inference
• Statistics
• Bayesian statistics
• Estimation theory

Ensemble Assimilation of Ocean Data into the GEOS-5 Coupled GCM Christian Keppenne1,2,*, Guillaume Vernieres1,2, Michele Rienecker1, Robin Kovach1,2, Jossy Jacob1,2 and Atanas Trayanov1,2 1NASA

Source URL: gmao.gsfc.nasa.gov

• Science
• Linear filters
• Control theory
• Robot control
• Bayesian statistics
• Kalman filter
• Data assimilation
• ESMF
• Global climate model
• Statistics
• Atmospheric sciences
• Estimation theory

SCAAT: Incremental Tracking with Incomplete Information Greg Welch and Gary Bishop University of North Carolina at Chapel Hill† Abstract 1 INTRODUCTION

Source URL: www.cs.unc.edu

• Robot control
• Linear filters
• Kalman filter
• ΔT
• Least squares
• Alpha beta filter
• Radar tracker
• Control theory
• Systems theory
• Cybernetics

Department of Mechanical and Biomedical Engineering Situated Object Classification and Grasping Prof M. Vincze Professor Automation and Control Institute

Source URL: www.cityu.edu.hk

• Robotics
• Robot

20th International Congress on Modelling and Simulation, Adelaide, Australia, 1–6 December 2013 www.mssanz.org.au/modsim2013 Maritime UAVs’ Swarm Intelligent Robot Modelling and Simulation using Accurate SLAM method

Source URL: www.mssanz.org.au

• Control theory
• Applied mathematics
• Multi-agent systems
• Collective intelligence
• Swarm intelligence
• Particle filter
• Extended Kalman filter
• Kalman filter
• Simultaneous localization and mapping
• Robot control
• Estimation theory
• Artificial intelligence