Hierarchical task decomposition strategies allow robots and agents in general to address complex decision-making tasks. Layered learning is a hierarchical machine learning paradigm...
David L. Leottau, Javier Ruiz-del-Solar, Patrick M...
Abstract. Since the first demonstration of the Virtual Robot Competition, USARSim has been used as the simulation interface and environment. The underlying simulation platform, Un...
This paper proposes a simple and fast method for adapting colour lookup tables to lighting changes in real-time. The method adjusts the classified colour space regions keeping bot...
Trent Houliston, Mitchell Metcalfe, Stephan K. Cha...
This paper presents a vision system which is designed to be used by the research community in the Standard Platform League1 (SPL) and potentially in the Humanoid League2 (HL) of th...
Ingmar Schwarz, Matthias Hofmann, Oliver Urbann, S...
Abstract. In the RoboCup Logistics League (RCLL), games are governed by a semi-autonomous referee box. It also records tremendous amounts of data about state changes of the game or...
Tim Niemueller, Sebastian Reuter, Alexander Ferrei...
The UT Austin Villa team, from the University of Texas at Austin, won the 2015 RoboCup 3D Simulation League, winning all 19 games that the team played. During the course of the com...
Patrick MacAlpine, Josiah Hanna, Jason Liang, Pete...