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Titlebook: RoboCup 2011: RobotSoccer World Cup XV; Thomas Röfer,N. Michael Mayer,Uluc̨ Saranlı Conference proceedings 2012 Springer-Verlag Berlin Hei

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楼主: CANTO
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Rigid and Soft Body Simulation Featuring Realistic Walk Behaviourreplay specific situations or logging various data. Unfortunately research in this area using a simulation depends on transferability of the results to reality, which is not given for common robotic simulators. This paper presents extensions to a basic rigid body physics simulation leading to more r
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Gradient Vector Griding: An Approach to Shape-Based Object Detection in RoboCup Scenariosbinary mask of the edge pixels. The developed algorithm contains a sequential pixel-level scan, and a much smaller second and third pass on the results to determine the connectivities. It is therefore significantly faster than Canny edge detector, performing both edge detection and grouping tasks. T
发表于 2025-3-31 01:24:42 | 显示全部楼层
AnySURF: Flexible Local Features Computationely, existing algorithms for such tasks require significant computational resources and are designed under the assumption that they will run to completion and only then return a complete result..Since partial results—a subset of all features in the image—are often sufficient, we propose in this pape
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Real-Time Trajectory Generation by Offline Footstep Planning for a Humanoid Soccer Robotidance have matured enough to provide for dynamic and exciting soccer games. While the elementary skills still remain hot research topics, it is time to move forward and address higher level skills, such as motion planning and team play. In this work, we present a new method to generate ball approac
发表于 2025-3-31 15:45:12 | 显示全部楼层
Real Time Biped Walking Gait Pattern Generator for a Real Robototion. Moreover, in the Robocup domain, robots that are able to achieve the goal footstep in a short duration have a great advantage when playing soccer. In this paper, we present a new technique to realize a real time biped walking gait pattern generator on a real robot named Nao. A Zero Moment Poi
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Planning Stable Paths for Urban Search and Rescue Robotsth the model of a real rescue robot demonstrate significant improvements in terms of paths that are able to automatically avoid regions of potential instabilities, to concentrate on those where the freedom of exploiting posture adaptation permits generation of optimally safe paths.
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