Journal and Society
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Elsevier Journal

Journal and Society

Sign up to Membership of the IAS Society to enjoy a personal subscription to the host Journal Robotics and Autonomous Systems.

As of 1995, the Robotics and Autonomous Systems Journal is affiliated to the Intelligent Autonomous Systems (IAS) Society (founded by the organizers of the IAS Conferences).

You can become a member of the Society, according to one of the following two procedures.

  1. by participating into the next IAS Conference, and signing an application form, You will become a member for the two years following that IAS Conference. Then, as a member, You can optionally subscribe to the Robotics and Autonomous Systems (RAS) Journal at a discounted rate.
  2. by signing an application form, and subscribing to the Robotics and Autonomous Systems (RAS) Journal for one full year at a discounted rate. You will become a member during the whole year for which you have subscribed to the RAS Journal.
As a member of the IAS Society you can benefit from the following:
  • information through the IAS Society news page in the Robotics and Autonomous Systems Journal
  • be involved in the composition of the IAS Society Governing Board.
  • be involved in the organization of the next IAS Conferences.

Robotics and Autonomous Systems


  • Prof. Jun Ota, Research into Artifacts, Center for Engineering (RACE), the University of Tokyo, 5-1-5 Kashiwanoha, Kashiva, Chiba, Japan;
  • Prof. R. Dillmann, University of Karlsuhe, Institut fur Prozessrechentechnik, Automation und Robotik, Kaiserstr. 12, D-76128 Karlsruhe, Germany;
  • Prof. R. Grupen, University of Massachusetts, Amherst, MA, USA.

Aims and Scope

Robotics and Autonomous Systems will carry

  • articles describing fundamental developments in the field of robotics, with special emphasis on autonomous systems. An important goal of this journal is to extend the state of the art in both symbolic and sensory based robot control and learning in the context of autonomous systems.
  • articles on the theoretical, computational and experimental aspects of autonomous systems, or modules of such systems. Application environments of interest include industrial, outdoor and outer space where advanced robotic techniques are required for autonomous systems to accomplish goals without human intervention; this includes robotics for hazardous and hostile environments.
  • brief reports on international meetings in the field, as well as an occasional multi-author debate on current topics of interest.

The Robotics and Autonomous Systems Journal covers the following topics:

  • symbol mediated robot behavior control;
  • sensory mediated robot behavior control;
  • active sensory processing and control;
  • industrial applications of autonomous systems;
  • sensor modeling and data interpretation; e.g., models and software for sensor data integration, 3D scene analysis, environment description and modeling, pattern recognition;
  • robust techniques in AI and sensing; e.g., uncertainty modeling, graceful degradation of systems;
  • robot programming; e.g., on-line and off-line programming, discrete event dynamical systems, fuzzy logic;
  • CAD-based robotics; e.g., CAD-based vision, reverse engineering.
  • robot simulation and visualization tools;
  • tele-autonomous systems;
  • micro electro-mechanical robots;
  • robot control architectures;
  • robot planning, adaptation and learning;
  • autonomous systems.

Abstracted/Indexed In

Cambridge Scientific Abstracts, Compuscience, Computer Abstracts, EIC Intelligence, Engineering Index/Compendex, INSPEC Information Services.

Subscription Conditions

The reduced yearly member subscription rate for the Robotics and Autonomous Systems Journal is available in accordance with the following conditions:

  • That they are exclusively for personal use by individual members of the Intelligent Autonomous Systems Society (IAS).
  • That they are accepted only on a year basis (January to December).
  • That they only apply to the Volumes published in the current subscription period and do not apply to Back Volumes.