The ability to construct autonomous robots that are able to learn from the environment in which they operate in order to achieve their objectives is a need so far largely unsatisfied, especially for dynamic environments which change quickly and are noisy and uncertain. A method of developing controllers for simple robots that learn, via artificial evolution, how to react in the noisy, uncertain...

This article is to describe the Essex Wizards team attending the simulation league of RoboCup'99 in Stockholm. A long-term research goal of this team is to focus on cooperative behaviours, team roles and formations , sensor fusion and machine learning capabilities. Therefore, the initial eeorts for participating at RoboCup'99 are mainly concentrated on a multi-threaded implementation to simulat...

Physically-realistic simulated environments are powerful platforms for enabling measurable, replicable and statistically-robust investigation of complex robotic systems. Such environments are epitomised by the RoboCup simulation leagues, which have been successfully utilised to conduct massivelyparallel experiments in topics including: optimisation of bipedal locomotion, self-localisation from ...

FC Portugal project intends to continue the research performed during the development of previous FC Portugal RoboCup simulation league teams. These teams had very good results in previous RoboCup simulation competitions. FC Portugal won the simulation league 2D in RoboCup2000 (Melbourne) and won two European championships (Amsterdam2000 and Paderborn2001). FC Portugal team also won the 2002 Co...

This report describes an analysis of performance of teams participating at the ROBOCUP@HOME 2008 competition, in Suzhou, China. The analysis has been performed by defining a set of key abilities that are required to RoboCup@Home teams, by relating them with sub-scores of the tests and by measuring team performance on such abilities. Results are useful to evaluate performance of teams, difficult...

The coordinated reaction to a large-scale disaster is a challenging research problem. The Robocup rescue simulation league addresses this research problem but is currently lacking an interface to real-world real-time data to test the validity of both simulation and simulated reactions. In this paper, we describe a wearable-computing-based real world interface to the Robocup Rescue simulation so...

This paper describes the RoboCup Humanoid League team NimbRo AdultSize of Rheinische Friedrich-Wilhelms-Universität Bonn, Germany, as required by the RoboCup qualification procedure for the competition held from the 27th of July to the 30th of July 2017 in Nagoya, Japan. Our team uses self-constructed robots for playing soccer. This paper describes the mechanical and electrical design of the ro...

This paper describes the new generation of Minho Team robots since the last RoboCup participation. Robots have been rebuilt from top to bottom, keeping the essence of the previous generation, but lighter, faster, improved sight, new algorithms and new technology. The demands of RoboCup MSL are very high and a new breed of robots was necessary to cope with it. This paper describes a bottom-up vi...

We participate in the RoboCup four-legged league, and view this as a testbed for the use of multiagent coordination techniques. While the techniques we currently use are rather straightforward, our longterm goal is to adopt some of the more complex mechanisms we have been developing in other research. This paper describes these mechanisms, our work with RoboCup to date, and sketches the directi...

This paper describes two major humanoid robotic competitions: the RoboCup Humanoid League and the FIRA HuroCup, which were both introduced in 2002. Even though both competitions have the final goal of creating a team of robots that can compete with humans in a soccer math, the two associations focused on different intermediate goals. RoboCup focused on interesting soccer matches between teams o...