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

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發(fā)表于 2025-3-23 13:46:50 | 只看該作者
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發(fā)表于 2025-3-23 17:17:10 | 只看該作者
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發(fā)表于 2025-3-23 18:46:06 | 只看該作者
NimbRo@Home: Winning Team of the RoboCup@Home Competition 2012ur robots and further advanced mobile manipulation capabilities such as object perception and manipulation planning. For human-robot interaction, we propose to complement face-to-face communication between user and robot with a remote user interface for handheld PCs. We report on the use of our appr
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發(fā)表于 2025-3-23 23:18:00 | 只看該作者
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發(fā)表于 2025-3-24 02:52:59 | 只看該作者
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發(fā)表于 2025-3-24 07:31:47 | 只看該作者
Solving Multi-agent Decision Problems Modeled as Dec-POMDP: A Robot Soccer Case Studys (Dec-POMDP) is a recent mathematical framework which has been used to model multi-agent coordination. In this work, we model simple robot soccer as Dec-POMDP and solve it using an algorithm which is based on the approach detailed in [1]. This algorithm uses finite state controllers to represent po
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發(fā)表于 2025-3-24 13:26:01 | 只看該作者
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發(fā)表于 2025-3-24 18:38:21 | 只看該作者
People Detection in 3, Point Clouds Using Local Surface Normals to perform several tasks such as navigation with dynamic obstacle avoidance and human-robot-interaction. In this paper we propose a people detection approach based on 3. data provided by a RGB-D camera. We introduce a novel 3. feature descriptor based on Local Surface Normals (LSN) which is used to
19#
發(fā)表于 2025-3-24 20:16:02 | 只看該作者
Simulation Competitions on Domestic Robotson evaluating high-level functions of a domestic robot, including task planning and dialogue understanding. The object of holding these competitions is to promote research and development of service robots while avoiding limitations imposed by hardware of real robots. We also analyze the results and
20#
發(fā)表于 2025-3-25 01:20:54 | 只看該作者
Throwing Skill Optimization through Synchronization and Desynchronization of Degree of Freedomviors is one of the most serious issues in humanoid robotics. In contrast, it has been suggested that humans can solve such a problem by synchronizing many body parts in the early stage of learning, and then desynchronizing their movements to optimize a behavior for a task. This is called as ”Freeze
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