Supervisory Control of Learning and Adaptive Systems
Papers from the 2004 AAAI Workshop
Mike Rosenstein and Mohammad Ghavamzadeh, Program Cochairs
Technical Report WS-04-10 published by The AAAI Press, Menlo Park, California
This technical report is also available in book and CD format.
Please Note: Abstracts are linked to individual titles, and will appear in a separate browser window. Full-text versions of the papers are linked to the abstract text. Access to full text may be restricted to AAAI members. PDF file sizes may be large!
Contents
Preface / 97
Author
Human-Robot Interaction in Space Systems / 1
Paul S. Schenker
Beyond Robots as Tools to Robots as Partners / 2
Cynthia Breazeal
The Tele-Actor and Collaborative Tele-Experience / 4
Ken Goldberg and Dana Plautz
Action-Embedded Human-Robot Interaction for Hands-Off Assistive Domains / 5
Maja J. Mataric
Mixed Initiative Interaction and Robotic Systems / 6
Julie A. Adams, Pramila Rani, and Nilanjan Sarkar
Adjustable Autonomy in a Layered Cognitive Architecture / 14
Pete Bonasso
An Adaptive Speech Recognizer that Learns using Short and Long Term Memory / 17
Helen Wright Hastie and Jody J. Daniels
A HMI Design Method to Address Automation and Information Selection and Presentation Problems Related to the Use of Data Fusion Techniques in the Military Domain of ISTAR / 22
Helene L'Heureux, Jean-Yves Fiset, Jean-Rémi Duquet, and Jean-Marc Robert
Autonomy and Supervision for Robot Skills and Tasks Learned from Demonstration / 27
Odest Chadwicke Jenkins, Monica N. Nicolescu, and Maja J Mataric
Guiding a Reinforcement Learner with Natural Language Advice: Initial Results in RoboCup Soccer / 30
Gregory Kuhlmann, Peter Stone, Raymond Mooney, and Jude Shavlik
Programming Shell Scripts by Demonstration / 36
Tessa Lau, Lawrence Bergman, Vittorio Castelli, and Daniel Oblinger
Behavior Recognition in Assisted Cognition / 41
Lin Liao, Donald J. Patterson, Dieter Fox, and Henry Kautz
Robot Learning through Collaborative Dialog / 43
Andrea Lockerd and Cynthia Breazeal
Programming Robots using High-Level Task Descriptions / 49
Andrew J. Martignoni III and William D. Smart
Human-Robot Interaction: Leaders, Followers, Teachers and Learners / 55
Gerard T. McKee
An Agent Coaching Agents / 61
Patrick Riley and Manuela Veloso
Reinforcement Learning for Adaptive Cognitive Orthotics / 63
Matthew R. Rudary, Satinder Singh, and Martha E. Pollack
Learning to Perform Actions through Multimodal Interaction / 65
Chen Yu, Xue Gu, and Dana H. Ballard
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