Saad Khan's Publications

Sorted by DateClassified by Publication TypeClassified by Research Category

Balancing predicted mission cost and social costs by mobile robots navigating a crowd

S. Arif, S.A. Khan, and L. Bölöni. Balancing predicted mission cost and social costs by mobile robots navigating a crowd. In Proc. of Autonomous Robots and Multirobot Systems (ARMS) workshop at AAMAS-2014, May 2014.

Download

[PDF] 

Abstract

Recent developments in mobile robotics made feasible the near future scenario of mobile robots assisting individual persons. Such robots must maintain a sufficient distance from their human owners to be able to offer assistance, but they also need to be inconspicuous and observe the prevailing social and cultural norms. We are considering a scenario of mobile robots assisting a peacekeeper soldier patrolling a market with a dense crowd. The robot must balance the costs related to its mission (the danger of loosing contact with its owner) and the social cost of violating the crowd members' personal space. We develop a technique through which we predict the mission cost of different decisions, and use it to adapt the robot's strategies for resolving the micro-conflicts encountered in crowd navigation. We show that this adaptive strategy outperforms strategies of consistent politeness / assertiveness over a variety of scenarios.

BibTeX

@inproceedings{SArif-2014-ARMS,
   title = "Balancing predicted mission cost and social costs by mobile robots navigating a crowd",
   author = "S. Arif and S.A. Khan and L. B{\"o}l{\"o}ni",
   booktitle = "Proc. of Autonomous Robots and Multirobot Systems (ARMS) workshop at AAMAS-2014",
   year = "2014",
   month = "May",
   bib2html_dl_pdf =
   {http://www.eecs.ucf.edu/~skhan/Publications/Download/SArif-2014-ARMS.pdf},
   bib2html_pubtype = {Refereed Conference},
   bib2html_rescat = {Autonomous Agents},
   abstract = {
   Recent developments in mobile robotics made feasible the near future scenario of mobile robots assisting individual persons. Such robots  must maintain a sufficient distance from their human owners to be   able to offer assistance, but they also need to be inconspicuous and  observe the prevailing social and cultural norms. We are considering   a scenario of mobile robots assisting a peacekeeper soldier  patrolling a market with a dense crowd. The robot must balance the  costs related to its mission (the danger of loosing contact with its  owner) and the social cost of violating the crowd members' personal  space. We develop a technique through which we predict the mission  cost of different decisions, and use it to adapt the robot's  strategies for resolving the micro-conflicts encountered in crowd  navigation. We show that this adaptive strategy outperforms  strategies of consistent politeness / assertiveness over a variety of  scenarios.
},
}

Generated by bib2html.pl (written by Patrick Riley, Saad Khan ) on Thu Jul 10, 2014 15:43:58