Significant developments have been seen over the last few years in the robot soccer domain. Considerable improvements have been made in the areas of robot control, strategy generation, vision processing, etc. In particular, in the vision area, there have been many researches aimed at decreasing processing time. However, many other issues remain in the development of ideal vision system. Despite...

Robot learning | be it unsupervised, supervised or self-supervised | is one method of dealing with noisy, inconsistent, or contradictory data that has proven useful in mobile robotics. In all but the simplest cases of robot learning, raw sensor data cannot be used directly as input to the learning process. Instead, some \meaningful" preprocessing has to be applied to the raw data, before the le...

The paper mainly describes the implementation of our middle-size league robot team “NuBot” for RoboCup 2007. The description consists of both the hardware design of the robot vehicle and the fundamental control & AI software running on its onboard computer. The current research focuses on robust robot vision, perfect world model building and multi-robot cooperation.

Robot conveyor tracking is a task in which a robot follows and obtains objects on a conveyor belt. Prior to obtaining an object from an automation line, a robot needs information about the object, such as its position, orientation, velocity, size, etc. Compared to ultrasonic sensors and infrared ray sensors, vision sensors can provide more information about the object on the conveyor belts. Gen...

Dynamic neuro-controllers are incrementally evolved for reaching and tracking movements by a physically simulated robot arm. An active vision system capable of controlling gaze direction and focus replaces the need for internal models of the robot. It is shown that closing the feedback loop allows for robot control being robust to changes in environment, sensors and robot-morphology.

Computer vision is forever expanding into new areas, especially in the eld of inspection. The work presented here shows how computer vision has the potential to improve the exterior inspection of large buildings. A robot is being developed at City University, London that will perform a number of tests and the initial use of computer vision is to locate the robot thus enabling the position of bu...

This document describes the specifications and functions of the humanoid robot THHRP-2, which is developed by team Tsinghua Hephaestus as a platform for research in bipedal locomotion, robot vision, self-localization and multi-robot cooperation. The robot will also be used to participate in TeenSize League of RoboCup 2007 Atlanta.