GAIM Papers Scherliess, L., R. W. Schunk, J. J. Sojka, and D. C. Thompson, Development of a physics-based reduced state Kalman filter for the ionosphere, Radio Sci., 39, RS1S04, doi:2002RS002797, 31 January 2004.

Source URL: spaceweather.usu.edu

• Ionosphere
• Space weather
• SCHUNK
• Total electron content

IMU Preintegration on Manifold for Efficient Visual-Inertial Maximum-a-Posteriori Estimation Christian Forster∗ , Luca Carlone† , Frank Dellaert† , and Davide Scaramuzza∗ ∗ Robotics and Perception Group, Unive

Source URL: rpg.ifi.uzh.ch

• Mathematical analysis
• Statistics
• Probability
• Control theory
• Kalman filter
• Robot control
• Inertial frame of reference
• Distribution
• Skew-symmetric matrix
• Normal distribution
• Inertial measurement unit

London Mathematical Society – EPSRC Durham Symposium Mathematics of Data Assimilation Monday 1st August – Thursday 11th August 2011 All talks will take place in room CLC203 Ken Wade Lecture Theatre, Calman Learning C

Source URL: www.maths.dur.ac.uk

• Statistics
• Statistical theory
• Control theory
• Linear filters
• Telecommunications engineering
• Estimation theory
• Bayesian statistics
• Crops
• Data assimilation
• Kalman filter
• Dynamical system
• Coffee

Assimilation of Simulated Infrared Brightness Temperatures Using An Ensemble Kalman Filter Data Assimilation System Jason Otkin & Will Lewis UW-Madison/CIMSS 22 June 2010

Source URL: www2.mmm.ucar.edu

• Prediction
• Statistics
• Statistical forecasting
• Meteorology
• B11
• Forecasting
• Data assimilation
• Cultural assimilation
• Cloud cover
• Rain
• Assimilation
• Cloud

Continuous-Time Estimation of attitude using B-splines on Lie groups Hannes Sommer1 , Roland Siegwart2 , and Paul Furgale3 Swiss Federal Institute of Technology Zurich (ETHZ), Zurich, 8092, Switzerland James Richard For

Source URL: europa2.informatik.uni-freiburg.de

• Interpolation
• Statistics
• Signal processing
• Estimation theory
• Robot control
• Control theory
• Quaternions
• Spline
• Kalman filter
• B-spline
• State observer
• Maximum likelihood estimation

Fibonacci sequence, golden section, Kalman filter and optimal control A. Benavoli1, L. Chisci2 and A. Farina3 1

Source URL: people.idsia.ch

LQG-Based Planning, Sensing, and Control of Steerable Needles Jur van den Berg1 , Sachin Patil1 , Ron Alterovitz1, Pieter Abbeel2 , Ken Goldberg2 Abstract This paper presents a technique for planning and controlling beve

Source URL: goldberg.berkeley.edu

• Control theory
• Statistics
• Systems theory
• Systems science
• Kalman filter
• LinearquadraticGaussian control
• State observer
• Normal distribution
• State-space representation
• Optimal control

Gaussian Belief Space Planning with Discontinuities in Sensing Domains Sachin Patil, Yan Duan, John Schulman, Ken Goldberg, Pieter Abbeel Abstract— Discontinuities in sensing domains are common when planning for many r

Source URL: goldberg.berkeley.edu

• Robot control
• Control theory
• Kalman filter
• Motion planning
• Partially observable Markov decision process
• Robotics
• Distribution
• Trajectory optimization

An EM-Algorithm for Maximum Likelihood Estimation of Vector Autoregressions with Mixed Frequency Data J¨urgen Antony∗ and Torben Klarl† February 13, 2016 Abstract

Source URL: www.wiwi.uni-augsburg.de

• Statistics
• Estimation theory
• Statistical inference
• Robot control
• Kalman filter
• Maximum likelihood estimation
• Expectationmaximization algorithm
• Exponential family
• Principal component analysis
• Confidence interval
• Draft:Pirate programming

C:/Users/Jur van den Berg/Documents/papers/ICRA10 - Surgical Learning/vandenBergDuckworthMillerHuWanFuGoldbergAbbeel-icra10.dvi

Source URL: goldberg.berkeley.edu

• Physics
• Mechanics
• Mechanical engineering
• Ballistics
• Engineering
• Robot control
• Trajectory
• Kinematics
• Kalman filter
• Robotics
• Dynamical system
• Work