Titlebook: RoboCup 2013: Robot World Cup XVII; Sven Behnke,Manuela Veloso,Rong Xiong Conference proceedings 2014 Springer-Verlag Berlin Heidelberg 20

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Learning to Improve Capture Steps for Disturbance Rejection in Humanoid Soccerd collision avoidance have matured enough to allow for dynamic and exciting games. When two robots are fighting for the ball, they frequently push each other and balance recovery becomes crucial. In this paper, we report on insights we gained from systematic push experiments performed on a bipedal m

機(jī)械

RoboCup 2013: Best Humanoid Award Winner JoiTechby the team were the design of a versatile robot simulator and smart strategies for the robot player JoiTech Messi. The input for the versatile robot simulator in our system was data from the robot’s camera and the output was a motor command given to the robot. Our system used real video data and a

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B-Human 2013: Ensuring Stable Game Performancesent on the field. In the RoboCup Standard Platform League (SPL), the only reasons for players not to participate in a game are that they either have been penalized or they have not been ready for the match in the first place. This paper presents some of the methods the 2013 SPL world champion team

overreach

obeisance

秘密會(huì)議

The Decision-Making Framework of WrightEagle, the RoboCup 2013 Soccer Simulation 2D League Champion ension of MAXQ-OP framework using multiple heuristic functions and a reachable state checking method. The experimental results show that our approach improves the quality of solutions in complex situations.

種屬關(guān)系

invulnerable

袋鼠

bourgeois