RoboCup 2015: Robot World Cup XIX by Luis Almeida, Jianmin Ji, Gerald Steinbauer, Sean Luke

By Luis Almeida, Jianmin Ji, Gerald Steinbauer, Sean Luke

This ebook is the lawsuits of the nineteenth Annual RoboCup foreign Symposium, held in Hefei, China, in July 2015.

The publication comprises 20 papers provided on the Symposium, conscientiously chosen from 39 submissions. also the e-book comprises eleven champion staff papers and one paper from the Workshop on Benchmarking provider Robots. The papers current present learn in robotics, synthetic intelligence, laptop imaginative and prescient, multiagent structures, simulation, and different areas.

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RoboCup 2015: Robot World Cup XIX

This e-book is the complaints of the nineteenth Annual RoboCup foreign Symposium, held in Hefei, China, in July 2015. The ebook comprises 20 papers offered on the Symposium, conscientiously chosen from 39 submissions. also the publication includes eleven champion group papers and one paper from the Workshop on Benchmarking carrier Robots.

Extra resources for RoboCup 2015: Robot World Cup XIX

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The experiments with interactive agents were finished in the episode 150 with a maximum of allowed time steps of 5,000, considered here as the optimum performance. The TAMER and ACTAMER algorithms reach the lowest performances, although these algorithms achieve faster learning than SARSA in the early episodes (by the episode 20). The autonomous SARSA agent converges by the episode 500 with higher final performance than the ones achieved by TAMER and ACTAMER. COACH outperforms the other algorithms since the first episode, and it achieves a performance four and three times higher than the one of SARSA’s (the second highest performance) with the keyboard and the hand-gesture interfaces, respectively.

Celemin and J. Ruiz-del-Solar Fig. 2. Hand Gesture Recognition system. (a) General scheme, (b) detailed scheme. – Tracking: The parameters of the bounding box given by the prior module are used as observations by a Kalman filter, which estimates the final hand candidates, based on the fusion of the current ROI information and the prior ones. Afterwards, the blob with the moving edges is intersected with the Kalman-filtered bounding box. – Features Extraction and Classification: The image window given by the Tracking module is analyzed in order to classify the captured gesture.

Res. 17(1), 1–33 (2002) 8. : Sat challenge 2012 random sat track: description of benchmark generation. In: Proceedings of SAT CHALLENGE 2012, p. 72 (2012) 9. : The mario AI benchmark and competitions. IEEE Trans. Comput. Intell. AI Games 4(1), 55–67 (2012) 10. : Ten years of the AAAI mobile robot competition and exhibition. AI Mag. 23(1), 13–22 (2002) 11. : Recasting robotics challenges as experiments [competitions]. IEEE Robot Autom. Mag. 18(2), 10–11 (2011) 12. : Robotics competitions as benchmarks for AI research.

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