CAREER: Autonomous
Reorganization of Cooperative Robotic Teams for Robust Performance
(Press
release)
The objective of this project is
to provide teams of cooperative robots with the appropriate knowledge of their
organizational structure and capabilities, along with efficient reasoning
mechanisms, to allow them to reorganize “on-the-fly” to achieve their overall
team goals more efficiently and effectively in the face of a changing
environment and team capabilities. The goal is to establish organizational
reasoning as a key component in a new approach to building highly robust
cooperative robotic teams. To realize this goal, the new organizational
knowledge and reasoning techniques must be incorporated into practical methods
and tools for designing and developing real world cooperative robotic systems.
The technological objectives of this research will be to
- Develop a team
organizational model that describes how organizational concepts such as goals,
roles, and individual team members are related
- Develop strategies,
techniques, and algorithms for discovering when reorganization is required as
well as efficient techniques for reorganizing to allow teams to reach their
goals
- Codify these methods and techniques in an automated toolset to
ensure that the organizational knowledge is captured and transformed into a form
compatible with efficient reasoning techniques
The theories, techniques,
methods, and tools developed in research will be used to enhance both
undergraduate as well as graduate curriculum in multiagent and cooperative
robotic systems. Also, a series of activities designed to impact persons not
specifically part of the project are planned with a strong emphasis on
pre-college students from elementary to high school. We plan to participate in
several summer workshops to motivate pre-college students to select science and
technology majors and to reach specific underrepresented groups.
Related Publications
-
Scott A. DeLoach, Walamitien Oyenan & Eric T. Matson.
A Capabilities Based
Theory of Artificial Organizations. accepted for publication in the
Journal of Autonomous Agents and Multiagent Systems (2007).
-
Scott A. DeLoach and Jorge L. Valenzuela.
An Agent-Environment Interaction Model. in L. Padgham and F. Zambonelli
(Eds.): AOSE 2006, LNCS 4405, pp. 1-18, 2007. Springer-Verlag, Berlin
Heidelberg 2007.
-
Eric Matson & Scott A. DeLoach.
Enabling
Intra-Robotic Capabilities Adaptation Using an Organization-Based Multiagent
System. Proceedings of the 2004 IEEE International Conference on
Robotics and Automation (ICRA 2004). April 26 – May 1, 2004. New Orleans,
LA.
-
Eric Matson and Scott DeLoach.
Using
Dynamic Capability Evaluation to Organize a Team of Cooperative, Autonomous
Robots. Proceedings of The 2003 International Conference on
Artificial Intelligence (IC-AI'03) June 23-26, 2003, Las Vegas, Nevada, USA.
-
Eric Matson, Scott A. DeLoach.
Organizational
Model for Cooperative and Sustaining Robotic Ecologies. Proceedings of
Robosphere 2002, a workshop on Self Sustaining Robotic Ecologies, pp. 5-9.
NASA Ames Research Center November 14-15, 2002.
Sponsor
This research is sponsored by the National Science Foundation.
Period of Performance: April 2004 - March 2009
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