This session focuses on various applications of soft computing in the area of mobile robotics. Ongoing work combining fuzzy logic, neural networks, genetic algorithms, etc. to solve problems in cooperation, search and rescue, and others will be highlighted. Of particular interest will be applications to groups of coordinated, cooperating mobile robots subjected to unknown, dynamic environments.

If you or someone you know are engaged in soft computing-related empirical and theoretical studies aimed at solving challenges in mobile robotics, including (but not limited to) the areas of

• data-acquisition and information-processing mechanisms underlying cognitive abilities like perception, recognition, information storage and information retrieval
• learning and acquisition of approximate models of the surrounding environment
• cooperative (or collaborative) problem solving
• cooperative (or collaborative) target sensing and identification
• on-the-fly behavior modification

• decision analysis
• dynamic systems modeling & diagnosis
• intelligent control
• machine vision
• signal processing
• system identification
• search-and-rescue (or similar area-coverage applications)

Send submissions/proposals/inquiries to
 

Please take note of the following important dates:
 

Full papers must be submitted by January 15, 2004 in order to be considered for publication in the Lecture Notes in Computer Science series (LNCS), Springer-Verlag. Submitted papers must be formatted according to the rules of LNCS (see http://www.springer.de/comp/lncs/authors.html). Every paper will be refereed by at least two independent reviewers.

  Text version

Document last modified: Tue Nov 18 12:45:51 PST 2003