@COMMENT This file was generated by bib2html.pl version 0.94 @COMMENT written by Patrick Riley @COMMENT This file came from Gal A. Kaminka's publication pages at @COMMENT http://www.cs.biu.ac.il/~galk/publications/ @Article{aij07avi, author = {Avi Rosenfeld and Gal A. Kaminka and Sarit Kraus and Onn Shehory}, title = {A Study of Mechanisms for Improving Robotic Group Performance}, journal = AIJ, year = {2008}, volume = {172}, number = {6--7}, pages = {633--655}, OPTnote = {}, abstract = {Many collaborative multi-robot application domains have limited areas of operation that cause spatial conflicts between robotic teammates. These spatial conflicts can cause the team's productivity to drop with the addition of robots. This phenomenon is impacted by the coordination methods used by the team-members, as different coordination methods yield radically different productivity results. However, selecting the best coordination method to be used by teammates is a formidable task. This paper presents techniques for creating adaptive coordination methods, to address this challenge. We first present a combined coordination cost measure, CCC, for quantifying the cost of group interactions. Our measure is useful for facilitating comparison between coordination methods, even when multiple cost factors are considered. We consistently find that as CCC values grow, group productivity falls. Using the CCC, we create adaptive coordination techniques that are able to dynamically adjust the efforts spent on coordination to match the number of perceived coordination conflicts in a group. We present two adaptation heuristics that are completely distributed and require no communication between robots. Using these heuristics, robots independently estimate of their combined coordination cost (CCC), and adjust their coordination methods to minimize it, and increase group productivity. We used a simulated robots to perform thousands of experiment trials, to demonstrate the efficacy of our approach. We show that using adaptive coordination methods creates a statistically significant improvement in productivity over static methods, regardless of the group size.}, wwwnote = {}, }