Abstract. This paper presents a new approach to optimize gait parameter sets using evolutionary algorithms. It separates the crossover-step of the evolutionary algorithm into an in...
Generation of a sequence of behaviors is necessary for the RoboCup Humanoid league to realize not simply a individual robot performance but also cooperative ones between robots. A ...
The RoboCupRescue Simulation project aims at simulating large-scale disasters in order to explore coordination strategies helpful for real-life rescue missions. This can only be ac...
In this paper, we present a new approach for omnidirectional vision-based self-localization in the RoboCup Middle-Size League. The omnidirectional vision sensor is used as a range ...
Emanuele Menegatti, Alberto Pretto, Enrico Pagello
In this paper, the problem of determining if a population of mobile robots is able to travel from an initial conguration to a target conguration is addressed. This problem is rel...
Francisco A. Melo, M. Isabel Ribeiro, Pedro U. Lim...
In competitive domains, the knowledge about the opponent can give players a clear advantage. This idea lead us in the past to propose an approach to acquire models of opponents, ba...
Abstract. This paper describes a behavior-based architecture which integrates existing potential field approaches concerning motion planning as well as the evaluation and selectio...
We show that all published visual data processing methods for the simulated robotic soccer so far were not utilizing all available information, because they were mainly based on he...
In this paper we propose an approach for tracking a moving target using Rao-Blackwellised particle filters. Such filters represent posteriors over the target location by a mixtur...