Titlebook: RoboCup 2012: RobotSoccer World Cup XVI; Xiaoping Chen,Peter Stone,Tijn Zant Conference proceedings 2013 Springer-Verlag Berlin Heidelberg

expunge

Positioning to Win: A Dynamic Role Assignment and Formation Positioning System This positioning system was a key component in allowing the team to win all 24 games it played at the competition during which the team scored 136 goals and conceded none. The positioning system was designed to allow for decentralized coordination among physically realistic simulated humanoid socce

无能性

Evacuation Simulation with Guidance for Anti-disaster Planning for computing individual as well as and collective behaviors in crowds. During an evacuation, it is well known that trained leaders or evacuation guidance play a key role in saving human lives. In this paper, we propose an evacuation simulation system where agents are guided by evacuation orders fr

希望

Meager

文艺

UT Austin Villa 2012: Standard Platform League World Championse walk. Finally, new behaviors and strategies take advantage of opportunities for the robot to take time to setup for a long kick, but kick very quickly when opponent robots are nearby. The combination of these contributions led to the team’s victories in 2012.

灾祸

Noctambulant

仪式

Solving Multi-agent Decision Problems Modeled as Dec-POMDP: A Robot Soccer Case Studytry to estimate it by running many simulations. We show that it is possible to model a robot soccer game as a Dec-POMDP and achieve satisfactory results. The trained policy wins almost all of the games against the standard . teams, and a reinforcement learning based team developed elsewhere.

过于平凡

People Detection in 3, Point Clouds Using Local Surface Normalsusion we introduce a top-down/bottom-up segmentation. We deployed the people detection system on a real-world service robot operating at a reasonable frame rate of 5.. The experimental results show that our approach is able to detect persons in various poses and motions such as sitting, walking, and running.

蹒跚

Positioning to Win: A Dynamic Role Assignment and Formation Positioning System simulator. Although the positioning system is discussed in the context of the RoboCup 3D simulation environment, it is not domain specific and can readily be employed in other RoboCup leagues as it generalizes well to many realistic and real-world multiagent systems.