Evolutionary Robotics on the Web with WebGL and Javascript

06/12/2014
by   Jared Moore, et al.
Michigan State University
0

Web-based applications are highly accessible to users, providing rich, interactive content while eliminating the need to install software locally. However, evolutionary robotics (ER) has faced challenges in this domain as web-based technologies have not been amenable to 3D physics simulations. Traditionally, physics-based simulations require a local installation and a high degree of user knowledge to configure an environment, but the emergence of Javascript-based physics engines enables complex simulations to be executed in web browsers. These developments create opportunities for ER research to reach new audiences by increasing accessibility. In this work, we introduce two web-based tools we have built to facilitate the exchange of ideas with other researchers as well as outreach to K-12 students and the general public. The first tool is intended to distribute and exchange ER research results, while the second is a completely browser-based implementation of an ER environment.

READ FULL TEXT VIEW PDF
POST COMMENT

Comments

There are no comments yet.

Authors

page 1

08/31/2018

The Cosmic Spiderweb and General Origami Tessellation Design

The cosmic web (the arrangement of matter in the universe), spider's web...
08/07/2019

Exploring the Intersections of Web Science and Accessibility

The web is the prominent way information is exchanged in the 21st centur...
10/21/2020

Literature Review of Computer Tools for the Visually Impaired: a focus on Search Engines

A sudden reliance on the internet has resulted in the global standardiza...
06/09/2012

A novel 2.5D approach for interfacing with web applications

Web applications need better user interface to be interactive and attrac...
12/07/2020

Bringing Cognitive Augmentation to Web Browsing Accessibility

In this paper we explore the opportunities brought by cognitive augmenta...
09/11/2019

Generic Framework of Knowledge-Based Learning: Designing and Deploying of Web Application

Learning technology was used as standalone software to install in a part...
04/03/2018

Probing Physics Knowledge Using Tools from Developmental Psychology

In order to build agents with a rich understanding of their environment,...
This week in AI

Get the week's most popular data science and artificial intelligence research sent straight to your inbox every Saturday.

References

  • Bongard et al. [2012] Josh Bongard, Paul Beliveau, and Gregory Hornby. Avoiding local optima with interactive evolutionary robotics. In

    Proceedings of the 14th Annual Conference Companion on Genetic and Evolutionary Computation

    , GECCO ’12, pages 1405–1406, Philadelphia, Pennsylvania, USA, 2012. ACM.
  • Cabello et al. [2014] Ricardo Cabello, Paul Brunt, Branislav Ulicny, and Joshua Koo. Threejs. http://threejs.org/, June 2014.
  • Clune and Lipson [2011] Jeff Clune and Hod Lipson. Evolving 3d objects with a generative encoding inspired by developmental biology. SIGEVOlution, 5(4):2–12, November 2011.
  • Coumans [2014] Erwin Coumans. Bullet physics engine. http://bulletphysics.org/wordpress/, June 2014.
  • Group [2014] Khronos Group. Webgl. http://www.khronos.org/webgl/, June 2014.
  • Prall [2014] Chandler Prall. Physijs. http://chandlerprall.github.io/Physijs/, April 2014.
  • Secretan et al. [2008] Jimmy Secretan, Nicholas Beato, David B. D Ambrosio, Adelein Rodriguez, Adam Campbell, and Kenneth O. Stanley. Picbreeder: Evolving pictures collaboratively online. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, pages 1759–1768, Florence, Italy, 2008. ACM.
  • Sims [1994] Karl Sims. Evolving 3D morphology and behavior by competition. Artificial Life, 1(4):353–372, 1994. ISSN 1064-5462.