affidavit 发表于 2025-3-21 16:19:26

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新星 发表于 2025-3-21 22:53:20

Multi-Robot Fast-Paced Coordination with Leader Electioncan efficiently achieve their pre-defined global objective. From a wide range of multi-agent coordination sub-topics, one of the current open issues is task assignment and role selection in fast-paced environments. In homogeneous teams, where robots have the ability to dynamically change roles, work

Detoxification 发表于 2025-3-22 04:22:54

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指耕作 发表于 2025-3-22 04:35:20

Visual Mesh: Real-Time Object Detection Using Constant Sample Densityansformation called Visual Mesh. It uses object geometry to create a graph in vision space, reducing computational complexity by normalizing the pixel and feature density of objects. The experiments compare the Visual Mesh with several other fast convolutional neural networks. The results demonstrat

Bmd955 发表于 2025-3-22 09:19:54

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bronchodilator 发表于 2025-3-22 16:48:25

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Trabeculoplasty 发表于 2025-3-22 18:52:12

Learning Skills for Small Size League RoboCuphitecture. STP divides the robot behavior into a hand-coded hierarchy of plays, which coordinate multiple robots, tactics, which encode high level behavior of individual robots, and skills, which encode low-level control of pieces of a tactic. The CMDragons successfully used an STP architecture to w

botany 发表于 2025-3-23 00:43:45

Real-Time Scene Understanding Using Deep Neural Networks for RoboCup SPL platforms is challenging because of CNNs’ excessive computational requirements. We present an end-to-end neural network solution to scene understanding for robot soccer. We compose two key neural networks: one to perform semantic segmentation on an image, and another to propagate class labels betwe

peritonitis 发表于 2025-3-23 05:04:27

Training a RoboCup Striker Agent via Transferred Reinforcement Learningtion spaces with continuous parameters. Advancements such as the Deep-Q Network and the Deep Deterministic Policy Gradient were a critical step in making reinforcement learning a feasible option for training agents in real world scenarios. The viability of these technologies has previously been demo

Intruder 发表于 2025-3-23 09:26:48

Playing Soccer Without Colors in the SPL: A Convolutional Neural Network Approachstem are: (i) real-time operation in the NAO robot, and (ii) the ability to detect the ball, the robots, their orientations, the lines and key field features robustly. Our ball detector, robot detector, and robot’s orientation detector obtain the highest reported detection rates. The proposed vision
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查看完整版本: Titlebook: RoboCup 2018: Robot World Cup XXII; Dirk Holz,Katie Genter,Oskar von Stryk Conference proceedings 2019 Springer Nature Switzerland AG 2019