Carnegie Mellon Robotics Institute
In many domains, there is a need for computational frameworks and mechanisms that support dynamic coordination of multiple agents toward achievement of specific global objectives over time. Quite often, the problem at hand centers on allocation of the resources that each agent has at its disposal. For example, different manufacturers along a supply chain have different production capacities and constraints which must be synchronized over time; various commands in a military operation must coordinate and time share the use of their assets; execution of common business processes requires staged participation of personnel in various organizational units.
To better understand and address such multi-agent coordination problems, we are investigating the following issues: (1) Coordination protocols and policies, (2) Use of projection and look-ahead, and (3) Adaptive decision policies.
Our current research in this direction has been focusing on the development of self-scheduling systems that draw on various aspects of a computational model of the self-organizing behavior of wasp colonies. More specifically, we have been developing the following such self-scheduling systems and algorithms:
|The Robotics Institute is part of the School of Computer Science, Carnegie Mellon University.|
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