EIGHTEENTH INTERNATIONAL JOINT CONFERENCE ON ARTIFICIAL INTELLIGENCE
August 9, 2003
Call for Papers
Uncertainty plays an important role in robotics at many levels, such as sensor interpretation, environment modeling, spatial reasoning, planning and decision making, self-localization, and motion control. As mobile robots are going to be used for increasingly complex tasks and environments, they are faced with the problem of how to deal with the increasing amount of uncertainty that affects the available knowledge. Dealing with uncertainty also constitutes the focus of a large research effort in AI, which has led to a large number of new theories and new techniques. However, it is only recently that the field of robot navigation has started to import some of the several techniques developed in AI for dealing with uncertain information.
This workshop is the fourth in a series of workshops aimed at bringing together researchers from robotics and AI, to provide a forum to present and discuss new approaches to dealing with uncertainty in robotic navigation. The first thee workshops in this series were held in Amsterdam (RUR '95), in Stockholm (RUR '99), and in Seattle (RUR '01). The RUR '03 workshop will welcome new ideas on different ways to deal with uncertainty in robotic applications, e.g., using probability theory, evidence theory, fuzzy sets, or qualitative representations. The ambition of this workhop is to provide the attendees with a deeper understanding of the relative merits and demerits of the various approaches to manage uncertainty in this domain. Papers comparing different approaches are especially welcome. We also welcome contributions reporting and analyzing related negative results.
Uncertainty is a pervasive phenomenon in robotics, and the ability to deal with it is vital to the development of succesfull applications. Therefore, this workshop will interest all people working in robotics both from an academy and from an industrial perspective. It will also interest researchers working in the area of uncertainty in AI since it will offer them the possibility to apply their techniques to real and challenging problems. The workshop will emphasize the interaction between scientists coming from different backgrounds.
Structure and Attendance
The workhop will cover one full day, and will include presentation of submitted papers, invited talks, a rump session, and joint discussions.
The workshop is open to all the AI community, but attendance is limited to active participants only. Perspective authors should submit a full paper of up to 10 pages, reporting original results that have not been previously published in a journal or major conference. Papers presented at workshops and specialized conferences with a limited audience are acceptable. People who are interested in participating without presenting a paper are invited to submit a two page statement of interest including: a description of their work in the workshop area, a short bio, and pointers to a few relevant publications.
To guarantee a high level of interactivity, the number or participants is limited to 40. All workshop attendees must also register to the main IJCAI conference.
Full papers should be typeset in single column, 10 or 11 point font, with at least 1 inch margins on all sides, and must be submitted as either a PS or a PDF file. Other, non-standard formats (eg, Word) cannot be accepted. Statements of interest can be submitted as a PS, PDF, or ASCII text file.
Submissions should be made electronically by e-mail to email@example.com (contact one of the chairs if you can not do that). In the body of the e-mail message, you must specify the following:
All submissions will be acknowledged within a few days. Papers will be peer-reviewed and the decision of acceptance will be mailed to the corresponding author. Accepted papers will be included in the workshop notes, distributed at the workshop, and in the workshop's web site. At least one author of each accepted paper must attend the workshop.