Media Summary: Demonstration of estimating the orientation and shape of a snake robot Authors: Stylianos Piperakis, Dimitrios Kanoulas, Nikos G. Tsagarakis, and Panos Trahanias Conference: 2019 IEEE/RSJ ... Highlights from a lecture by Professor Lars Hansen on "

Robust State Estimation Using Loosely - Detailed Analysis & Overview

Demonstration of estimating the orientation and shape of a snake robot Authors: Stylianos Piperakis, Dimitrios Kanoulas, Nikos G. Tsagarakis, and Panos Trahanias Conference: 2019 IEEE/RSJ ... Highlights from a lecture by Professor Lars Hansen on " This video introduces the first product SE+ of Smart Electric Grid, LLC. SE+ was developed in 2020 at Smart Electric Grid ICRA 2018 Spotlight Video Interactive Session Wed AM Pod V.7 Authors: Sun, Ke; Mohta, Kartik; Pfrommer, Bernd; Watterson, ... We design a global pose solution method that

This video discusses how least-squares regression is fragile to outliers, and how we can add

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Robust State Estimation using Loosely Coupled Vision-Inertial System
Robust State Estimation
Outlier-Robust State Estimation for Humanoid Robots
Outlier Robust State Estimation for Humanoid Robots
Highlights: Robustness, Estimation and Detection
Robust Motion Planning in the Presence of Estimation Uncertainty
Robust Standard Errors
(1/5) Robust performance case study: problem statement and simulation-based robustness validation
A Novel Robust State Estimator with 100% Guarantee of a Solution and Superb Bad Data Rejection
Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight
GVIO-Switch: A High-Precision GNSS-Visual-Inertial State Estimator for Indoor-Outdoor Environments
Visual Inertial Odometry with Robust Initialization and Online Scale Estimation (Sensors)
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Robust State Estimation using Loosely Coupled Vision-Inertial System

Robust State Estimation using Loosely Coupled Vision-Inertial System

Work at

Robust State Estimation

Robust State Estimation

Demonstration of estimating the orientation and shape of a snake robot

Outlier-Robust State Estimation for Humanoid Robots

Outlier-Robust State Estimation for Humanoid Robots

Authors: Stylianos Piperakis, Dimitrios Kanoulas, Nikos G. Tsagarakis, and Panos Trahanias Conference: 2019 IEEE/RSJ ...

Outlier Robust State Estimation for Humanoid Robots

Outlier Robust State Estimation for Humanoid Robots

IROS 2019.

Highlights: Robustness, Estimation and Detection

Highlights: Robustness, Estimation and Detection

Highlights from a lecture by Professor Lars Hansen on "

Robust Motion Planning in the Presence of Estimation Uncertainty

Robust Motion Planning in the Presence of Estimation Uncertainty

In our CDC paper "

Robust Standard Errors

Robust Standard Errors

What are

(1/5) Robust performance case study: problem statement and simulation-based robustness validation

(1/5) Robust performance case study: problem statement and simulation-based robustness validation

This video starts the discussion of a

A Novel Robust State Estimator with 100% Guarantee of a Solution and Superb Bad Data Rejection

A Novel Robust State Estimator with 100% Guarantee of a Solution and Superb Bad Data Rejection

This video introduces the first product SE+ of Smart Electric Grid, LLC. SE+ was developed in 2020 at Smart Electric Grid

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

ICRA 2018 Spotlight Video Interactive Session Wed AM Pod V.7 Authors: Sun, Ke; Mohta, Kartik; Pfrommer, Bernd; Watterson, ...

GVIO-Switch: A High-Precision GNSS-Visual-Inertial State Estimator for Indoor-Outdoor Environments

GVIO-Switch: A High-Precision GNSS-Visual-Inertial State Estimator for Indoor-Outdoor Environments

We design a global pose solution method that

Visual Inertial Odometry with Robust Initialization and Online Scale Estimation (Sensors)

Visual Inertial Odometry with Robust Initialization and Online Scale Estimation (Sensors)

Publication: Visual Inertial Odometry

Robust Regression with the L1 Norm

Robust Regression with the L1 Norm

This video discusses how least-squares regression is fragile to outliers, and how we can add