Titlebook: RoboCup 2007: Robot Soccer World Cup XI; Ubbo Visser,Fernando Ribeiro,Frank Dellaert Conference proceedings 2008 Springer-Verlag Berlin He

四牛在彎曲

Cooperative/Competitive Behavior Acquisition Based on State Value Estimation of Othersent it is close to its own goal is estimated by observation and used as a state value in the top layer state space to realize the cooperative/competitive behaviors. The method is applied to 4 (defence team) on 5 (offence team) game task, and the learning agent successfully acquired the teamwork play

vascular

Beyond Frontier Exploration the long range of current laser scanners. Typically, during the previous exploration a small number of laser rays already passed the frontier, but this number is too low to have major impact on the generated map. Yet, the few rays through a frontier can be used to estimate the potential information

CHARM

Robot Building for Preschoolers The complexity of the implementation is hidden from the children, leaving the children free to autonomously explore the functionality of the blocks. As a consequence, children are free to move their focus beyond the technology. Instead they are free to focus on the construction process, and to work

暫停,間歇

Improving Robot Self-localization Using Landmarks’ Poses Tracking and Odometry Error Estimationomparing the real map, given by the real (a priori known) position of the fixed-landmarks, with the estimated map, given by the estimated position of these landmarks. Based on this new approach we propose an improved self-localization system for AIBO robots playing in a RoboCup soccer environment, w

GROWL

Model-Based Reinforcement Learning in a Complex Domaincomparisons with model-free approaches that have been previously applied successfully to this task. Results demonstrate significant gains in the learning speed and asymptotic performance of our method. We also show that the learned model can be used effectively as part of a planning-based approach w

caldron

HMDP: A New Protocol for Motion Pattern Generation Towards Behavior Abstraction which in turn executes them in real-time. As a result, the Harmonic Motion Description Protocol (HMDP) is presented. It allows the motions to be described as vectors of coefficients of harmonic motion splines. The motion splines are expressed as human-readable ASCII strings that can be passed as a

兵團(tuán)

領(lǐng)導(dǎo)權(quán)

Solving Large-Scale and Sparse-Reward DEC-POMDPs with Correlation-MDPsthe local controller for each agent. By using this method, we are able to achieve a tradeoff between computational complexity and the quality of the approximation. In addition, we demonstrate that, adversarial problems can be solved by encoding the information of opponents’ behavior in the correlati

Eosinophils

Pablo Guerrero,Javier Ruiz-del-Solar,Gonzalo Díazxperts on selected topics that deal with some major aspect of massive data sets. It contains chapters on information retrieval both in the internet and in the t978-1-4613-4882-5978-1-4615-0005-6Series ISSN 1569-2698 Series E-ISSN 2468-8738

不滿分子

Precise Extraction of Partially Occluded Objects by Using HLAC Features and SVMcandidate region is classified into partially occluded object or noise by using HLAC features and SVM. We applied our method to the global vision system of RoboCup small size league (SSL) and confirmed that it could extract partially occluded objects, 94.23% for 5 to 8 pixels area and 80.06% for 3 to 4 pixels area, and worked more than 60fps.