The chapter describes our current work in developing cognitive robotics architectures in the context of robot soccer coaching using spoken language. The work exploits recent developments in cognitive science, particularly notions of grammatical constructions as form-meaning mappings in language, and notions of shared intentions as distributed plans for interaction and collaboration. We exploit ...

Robot soccer is an active research area that offers a challenging research domain to investigate a large spectrum of issues relevant to the development of complete autonomous agents. We used a two‐ and three‐agent robotic soccer simulation to study a coevolutionary learning technique: NeuroEvolution of Augmenting Topologies (NEAT). Our aim is to figure out a good fitness function for the robot ...

RoboCup is an international robot soccer competition that has been running since 1997. A frequent criticism of any such competition is that all of a team’s development is narrowly focussed on a very specific task and consequently, little contribution is made to science. In this paper, we describe our involvement in the RoboCup four-legged robot league and show how the competition has, indeed, r...

This paper examines the problem of how a mobile robot may coordinate among multiple, possibly conflicting deliberative processes for reasoning about object interactions in a soccer domain. This paper frames deliberative coordination as an instance of the algorithm selection problem and describes a novel framework by which a mobile robot may learn to coordinate its deliberative reasoning in resp...

In 2008, Nao robots played soccer for the first time in Robocup in Suzhou, China. This robots are developed to play soccer and for entertainment (e.g. dancing, interacting with children). This report presents that using different motion planning methods (e.g. inverse kinematics, RRTs, potential fields), allows this robot to do more complicated tasks like boxing. The main challenge is to deal wi...

Based on analyses of multi-agent motions in robot soccer games, a new collision prediction model is presented. We also propose a new idea of making the collision action as a central issue of robot soccer motion planning. The model is designed for the reliability and real-time efficiency of the prediction. Experiments on solving the collision deadlock problem show that the prediction model is ef...

Motion detection and tracking while moving is a desired ability for any soccer player. For instance, this ability allows the determination of the ball trajectory when the player is moving himself or when he is moving his head, for making or planning a soccer-play. If a robot soccer player should have a similar functionality, then it requires an algorithm for real-time movement analysis and trac...

This paper describes the Attempto Tübingen Robot Soccer Team which played at RoboCup 2003 in Padova. The robot platform, its sensors and actuators, and the software system running on the onboard computer are presented. The main part of the paper concentrates on our current scientific work on modelling and tracking a dynamic environment. Information about dynamic objects moving around in the env...

In the field of human-computer interaction (HCI), one of the most popular inspection-based methods for evaluating usability is the Heuristic Evaluation (HE) in gauging and improving the interaction design. With mobile robots exhibiting a stronger presence in commercial markets in the last few years, very little work has been done with heuristic evaluation in human-robot interaction discipline. ...

Finding an optimal path for a robot in a soccer field involves different parameters such as the positions of the robot, positions of the obstacles, etc. Due to simplicity and smoothness of Ferguson Spline, it has been employed for path planning between arbitrary points on the field in many research teams. In order to optimize the parameters of Ferguson Spline some evolutionary or intelligent al...