Skip to main content
Interactive Robotics Laboratory
Yu Gu, Professor

Interactive Robotics Letters

Aims and Scope

The Interactive Robotics Letters (IRL) is an open-review and open-access research forum that is organized by the West Virginia University (WVU) Interactive Robotics Laboratory (also IRL). The purpose of IRL is to help disseminate the latest research outcomes in robotics, explore radically different or controversial ideas, and promote research collaborations. Authors for IRL papers are not limited to WVU researchers. Submissions can be made by directly emailing the editorial board with a PDF document following this template.

The IRL is also serving as an experiment for a new form of interactive publication that lies between traditional peer-reviewed journals and collective contributed Wiki pages. Each submitted manuscript that passes an initial screening by the editorial board will be posted online. The article is then open to review by any researchers in the field, whose names will be acknowledged in the revised publication.  Following each review, the article will be revised by the original authors and then updated online with a new version number and a summary of the revisions. Additionally, each article will have a corresponding blog page for readers to post their suggestions and comments. Feedback from readers will be solicited in refining or correcting the article during its entire life cycle. A detailed documentation of the editorial history will be included in each revision and all earlier versions will be accessible from the IRL website.

Paper Types

  1. Research - presentation of recent research, development, or application;
  2. Editorial - opinion article based on research ideas, findings, and experience;
  3. Tutorial - educational article about an established topic;
  4. Survey - summary of a particular research area;

Editorial Board

  • Yu Gu, West Virginia University
  • Matthew Rhudy, Lafayette College
  • Jason Gross, Jet Propulsion Laboratory
  • Giampiero Campa, Mathworks


  1. Tutorial: Understanding Nonlinear Kalman Filters, Part I: Selection between EKF and UKF

  2. Tutorial: Understanding Nonlinear Kalman Filters, Part II: An Implementation Guide

  3. Tutorial: Presenting Engineering Data Using MATLAB Figures