Robot learning is a growing area of research at the intersection of robotics and machine
learning. The main contributions of this paper include a review of how machine learning has …

UCHILSIM is a robotic simulator specially developed for the RoboCup four-legged league. It
reproduces with high accuracy the dynamics of AIBO motions and its interactions with the …

The goal of this paper is to propose a vision system for humanoid robotic soccer that does
not use any color information. The main features of this system are:(i) real-time operation in …

Robot recognition is a very important point for further improvements in game-play in
RoboCup middle size league. In this paper we present a neural recognition method we …

Improving the game play in RoboCup middle size league requires a very robust visual
opponent and teammate detection system. Because RoboCup games are highly dynamic …

Our robotics group has teams in three leagues: humanoid, SPL, and@ home. Taking
advantage of this, we want to contribute to the transfer of relevant developments between …

Whereas numerous methods are used for vision systems embedded on robots, only a few
use colored region segmentation mainly because of the processing time. In this paper, we …

During quadrupedal robot locomotion, there is pitch, yaw, and roll of the head and body due
to the stepping. The head motion adversely affects visual sensors embedded in the robot's …

Today, autonomous robots are used in a rather limited range of applications such as
exploration of inaccessible locations, cleaning floors, mowing lawns etc. However, ongoing …

Having as a main motivation the development of robust and high performing robot vision
systems that can operate in dynamic environments, we propose a bayesian spatiotemporal …