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Colloquium - Gini

Performance Evaluation of Multiple Robots in a Search and Retrieval Task
University of Minnesota

Multiple robots often can do things that a single robot would not be able to do, such as pushing a large heavy object, or can do things faster and more reliably, such as picking up trash or mapping a large area.

We are interested in the second type of tasks, where cooperation increases performance. Good performance requires finding a balance between minimizing unwanted interference among the robots and maximizing synergy. In particular, we want to measure how performance is affected by factors such as the number of robots working in the same confined area, by the distribution of the objects the robots are searching for, and by the complexity of the environment.

We present experimental results obtained using Min-DART (the Minnesota Distributed Autonomous Robotic Team), a group of small Lego-based robots that have been explicitly built for search and retrieval. The robots have all the same limited sensing capabilities and perform the task without any explicit communication.

Refreshments will be served immediately before the talk at 3:30pm.

Department of Computer Science
University of Colorado Boulder
Boulder, CO 80309-0430 USA
May 5, 2012 (14:13)