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Reflective Agents with Distributed Adaptive Reasoning (RADAR)
Head: Michael Freed
Contact: Aaron Steinfeld (steinfeld@cmu.edu)

Mailing address:
Carnegie Mellon University
Robotics Institute
5000 Forbes Avenue
Pittsburgh, PA 15213

Associated centers: VASC, CIMDS, MRTC, SRI, and FRC
Associated labs/groups: Human-Robot Interaction Group and Intelligent Coordination and Logistics Laboratory

For more information, see this project's homepage.

Machine learning has been developed to the point where it can perform some truly useful tasks. However, much of the learning technology that's currently available requires extensive 'tuning' in order to work for any particular user, in the context of any particular task.

The focus of the RADAR project is to build a cognitive assistant that embodies machine learning technology that is able to function "in the wild" -- by this, we mean that the technology need not be tuned by experts, and that the person using the system that embodies the technology need not be trained in any special way.

Using the RADAR system itself, in the task for which it is designed, should be enough to allow RADAR to learn to improve performance.

RADAR is a project funded by DARPA and led by SRI International in partnership with Carnegie Mellon University, Bitway, Immedius, and Boeing.

For a full list of project personnel, please see the project's site.

Name - Title <Email Address>
• [Home] Jaime Carbonell - Director-Lti/Professor CS, LTI <jaime.carbonell@cs.cmu.edu>
• [Home] Fernando De la Torre Frade - Research Scientist <ftorre@cs.cmu.edu>
• Michael Freed - Visiting Researcher <michael.alan.freed@gmail.com>
• Javier Hernandez - Research Associate I <javierh@andrew.cmu.edu>
• [Home] Stephen Smith - Research Professor <sfs@cs.cmu.edu>
• [Home] Aaron Steinfeld - Systems Scientist <steinfeld@cmu.edu>
• [Home] Manuela Veloso - Professor, CS <veloso@cs.cmu.edu>

Note: This list may not be comprehensive. It contains only those publications in the RI publications database. Entries are listed in reverse chronological order.

• Successful User Interfaces for RADAR
  A. Faulring, K. Mohnkern, A. Steinfeld, and B.A. Myers
  CHI 2008 Workshop on Usable Artificial Intelligence, 2008. [Abstract]
  Download: pdf [149 KB] copyrighted

• Evaluation of an Integrated Multi-Task Machine Learning System with Humans in the Loop
  A. Steinfeld, S.R. Bennett, K. Cunningham, M. Lahut, P. Quinones, D. Wexler, D. Siewiorek, J. Hayes, P. Cohen, J. Fitzgerald, O. Hansson, M. Pool, and M. Drummond
  NIST Performance Metrics for Intelligent Systems Workshop (PerMIS), 2007. [Abstract]
  Download: pdf [1115 KB] copyrighted

• Survey measures for evaluation of cognitive assistants
  A. Steinfeld, P. Quinones, J. Zimmerman, S.R. Bennett, and D. Siewiorek
  NIST Performance Metrics for Intelligent Systems Workshop (PerMIS), 2007. [Abstract]
  Download: pdf [457 KB] copyrighted

• The RADAR Test Methodology: Evaluating a Multi-Task Machine Learning System with Humans in the Loop
  A. Steinfeld, R. Bennett, K. Cunningham, M. Lahut, P. Quinones, D. Wexler, D. Siewiorek, P. Cohen, J. Fitzgerald, O. Hansson, J. Hayes, M. Pool, and M. Drummond
  tech. report CMU-CS-06-125, Computer Science Department, Carnegie Mellon University, May, 2006. [Abstract]
  Download: pdf [1530 KB] copyrighted