The Robotics Research Laboratory was established in 1985 by Dr. S.S.Iyengar. The RRL is a research and education program specializing in the area of computational aspects of intelligent autonomous mobile robots (IAMR). The laboratory provides an infrastructure to facilitate a distributed research effort among Universities and leading U.S. research organizations.

The RRL research addresses a comprehensive set of problems fundamental to the implementation of AMR's. Members are performing advanced research in the areas of intelligent sensing and vision; spatial planning and navigation; asynchronous production systems; integration of knowledge sources in distributed systems; architectures for the control of mobile robots; world-modeling using acoustic sensors, and real time expert systems for the control of mobile robots. RRL investigators are presently exploring several new promising avenues of research.

• Dr. S. Sitharama Iyengar
• Dr. N. E. Brener
• Dr. Rajgopal Kannan
• Dr. Thomas Sterling
• Dr. S. Sarangi (Economics Dept)

Dr. Peter Chen 's original paper on the Entity-Relationship model (ER model) is one of the most cited papers in the computer software field.  Recently, Prof. Peter Chen was honored by the selection of his original ER model paper as one of the 38 most influential papers in Computer Science according to a survey of 1,000 computer science college professors ( Table of Contents, Great Papers in Computer Science , edited by P. Laplante , West Publishing, 1996).  Based on one particular citation database, Chen's paper is the 35th most cited article in Computer Science. It is the 4th most downloaded paper from the ACM Digital Library in January 2005 ( Communications of ACM , March 2005).

Professor Kraft is a world authority on information retrieval and its applications to various systems. Dr. J. Chen and Dr. S. Kundu work on different aspects of Machine Learning and Knowledge Discovery for various AI related applications.

The faculty in the department are involved in various aspects of Distributed Data Mining, Knowledge Discovery and other applications.

"The new field of data mining (DM) and knowledge discovery from databases (KDD) has emerged as the new discipline in engineering and computer science to address the new opportunities and challenges. Some may claim that this is an old scientific field since always people wanted to be able to analyze vast amounts of data and extract useful information (new knowledge) from them. However, in the modern sense of DM and KDD the focus seems to be in extracting information that can be characterized as "knowledge" and the data can be very complex and in large amounts ".(Adopted from special issue on Journal of Computers and IE, 2005. Guest Editors Dr. Evangelos Triantaphyllou and others).

• Dr. Peter Chen
• Dr. Jianhua Chen
• Dr. Donald Kraft
• Dr. Sukhamay Kundu
• Dr. Evangelos Triantaphyllou