In recent work we showed that models constructed from planner performance data over a large suite of benchmark problems are surprisingly accurate; 91-99% accuracy for success and ...
Mark Roberts, Adele E. Howe, Brandon Wilson, Marie...
Naive Bayesian classifiers work well in data sets with independent attributes. However, they perform poorly when the attributes are dependent or when there are one or more irrelev...
Miguel A. Palacios-Alonso, Carlos A. Brizuela, Lui...
Agent-based simulation provides a methodology to investigate complex systems behavior, such as supply chains, while incorporating many empirical elements relative to both systems ...
This paper describes an autonomous robot system designed to solve the challenging task of geocaching. Geocaching involves locating a goal object in an outdoor environment given on...
James Neufeld, Michael Sokolsky, Jason Roberts, Ad...
In environments which possess relatively few features that enable a robot to unambiguously determine its location, global localization algorithms can result in multiple hypotheses...
Shivudu Bhuvanagiri, K. Madhava Krishna, Supreeth ...