標(biāo)題: Titlebook: RoboCup 2018: Robot World Cup XXII; Dirk Holz,Katie Genter,Oskar von Stryk Conference proceedings 2019 Springer Nature Switzerland AG 2019 [打印本頁] 作者: affidavit 時間: 2025-3-21 16:19
書目名稱RoboCup 2018: Robot World Cup XXII影響因子(影響力)
書目名稱RoboCup 2018: Robot World Cup XXII影響因子(影響力)學(xué)科排名
書目名稱RoboCup 2018: Robot World Cup XXII網(wǎng)絡(luò)公開度
書目名稱RoboCup 2018: Robot World Cup XXII網(wǎng)絡(luò)公開度學(xué)科排名
書目名稱RoboCup 2018: Robot World Cup XXII被引頻次
書目名稱RoboCup 2018: Robot World Cup XXII被引頻次學(xué)科排名
書目名稱RoboCup 2018: Robot World Cup XXII年度引用
書目名稱RoboCup 2018: Robot World Cup XXII年度引用學(xué)科排名
書目名稱RoboCup 2018: Robot World Cup XXII讀者反饋
書目名稱RoboCup 2018: Robot World Cup XXII讀者反饋學(xué)科排名
作者: 新星 時間: 2025-3-21 22:53
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作者: Detoxification 時間: 2025-3-22 04:22 作者: 指耕作 時間: 2025-3-22 04:35
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作者: Bmd955 時間: 2025-3-22 09:19 作者: bronchodilator 時間: 2025-3-22 16:48 作者: Trabeculoplasty 時間: 2025-3-22 18:52
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作者: botany 時間: 2025-3-23 00:43
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作者: peritonitis 時間: 2025-3-23 05:04
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作者: Intruder 時間: 2025-3-23 09:26
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作者: 倔強(qiáng)不能 時間: 2025-3-23 10:38
End-to-End Deep Imitation Learning: Robot Soccer Case Studynable the development of machine learning methods that can get high dimensional data as an input. In this work, we use imitation learning to teach the robot to dribble the ball to the goal. We use B-Human robot software to collect demonstration data and a deep convolutional network to represent the 作者: paroxysm 時間: 2025-3-23 16:15
Designing Convolutional Neural Networks Using a Genetic Approach for Ball Detectionman. This paper describes the design of a convolutional neural network used for the detection of the black and white ball - one of the key contributions that led to the team’s success. We present a genetic design approach that optimizes network hyperparameters for a cost effective inference on the N作者: prodrome 時間: 2025-3-23 20:50 作者: 入會 時間: 2025-3-23 23:19
Mimicking an Expert Team Through the Learning of Evaluation Functions from Action SequencesThe aim of this paper is to propose a method that improves the performance of a team by mimicking a stronger one. For this purpose, a neural network is employed to model an expert team’s evaluation function. The neural network is trained by using positive and negative episodes of action sequences th作者: engrossed 時間: 2025-3-24 03:45
Jetson, Where Is the Ball? Using Neural Networks for Ball Detection at RoboCup 2017n. A patch-based classification approach is used. Two different ConvNet architectures, the Inception v3 network by Google and AlexNet are evaluated in the context of a ROS-based architecture on a robot with a Jetson GPU board. The aim is to allow for an efficient re-training of neural networks in th作者: 個阿姨勾引你 時間: 2025-3-24 07:28 作者: Basal-Ganglia 時間: 2025-3-24 11:11
Multi-Robot Fast-Paced Coordination with Leader Electionnt our solution for leader election among a team, which is based on the Raft algorithm and tackles two of its limitations. The proposed solution was implemented in a real team of soccer-playing robots and the experimental results are thoroughly presented and discussed.作者: 種屬關(guān)系 時間: 2025-3-24 15:40 作者: Infant 時間: 2025-3-24 21:14
Learning Skills for Small Size League RoboCup skills in the CMDragons’ architecture using a physically realistic simulator. We then show how RL can be leveraged to learn simple skills that can be combined by humans into high level tactics that allow an agent to navigate to a ball, aim and shoot on a goal.作者: 剛開始 時間: 2025-3-24 23:56 作者: PALSY 時間: 2025-3-25 05:05
Visual SLAM-Based Localization and Navigation for Service Robots: The Pepper Caseose short-range LIDARs and RGB-D camera do not allow the robot to self-localize in large environments. The localization system is tested in navigation tasks using Pepper in two different environments: a medium-size laboratory, and a large-size hall.作者: Incorporate 時間: 2025-3-25 07:48 作者: hemorrhage 時間: 2025-3-25 11:41
ImageTagger: An Open Source Online Platform for Collaborative Image Labelingwhich facilitates creating and sharing such data sets. The tool is already being successfully used in RoboCup Soccer, and a large amount of labeled data is publicly available. Other leagues are invited to use this tool to create data for their contexts.作者: 腐蝕 時間: 2025-3-25 19:20
0302-9743 .The 32 full revised papers and 11 papers from the winning teams presented were carefully reviewed and selected from 51 submissions. .This book highlights the approaches of champion teams from the competitions and documents the proceedings of the 22nd annual RoboCup International Symposium. Due to 作者: 脆弱么 時間: 2025-3-25 22:33 作者: 制造 時間: 2025-3-26 04:09
End-to-End Deep Imitation Learning: Robot Soccer Case Studys of images and speed commands. In 3D realistic robotics simulator experiments, we show that the robot is able to learn to search the ball and dribble the ball, but it struggles to align to the goal. The best-proposed policy model learns to score 4 goals out of 20 test episodes.作者: condemn 時間: 2025-3-26 08:18 作者: 猛烈責(zé)罵 時間: 2025-3-26 08:48 作者: 并置 時間: 2025-3-26 13:33
Playing Soccer Without Colors in the SPL: A Convolutional Neural Network Approach system is tested in a SPL field with several NAO robots under realistic and highly demanding conditions. The obtained results are: robot detection rate of 94.90%, ball detection rate of 97.10%, and a completely perceived orientation rate of 99.88% when the observed robot is static, and 95.52% when the observed robot is moving.作者: nonchalance 時間: 2025-3-26 19:56 作者: CRUC 時間: 2025-3-27 00:00 作者: 宣稱 時間: 2025-3-27 01:40 作者: Pessary 時間: 2025-3-27 08:21 作者: inventory 時間: 2025-3-27 10:27 作者: Communal 時間: 2025-3-27 13:38 作者: Receive 時間: 2025-3-27 19:55 作者: CLAM 時間: 2025-3-28 01:43 作者: EXTOL 時間: 2025-3-28 05:36 作者: Catheter 時間: 2025-3-28 06:19 作者: Thymus 時間: 2025-3-28 11:07
Warren Blair Watkinson II,Tracy Campr, we propose the Privacy by Design paradigm to develop technological frameworks for countering the threats of undesirable, unlawful effects of privacy violation, without obstructing the knowledge discovery opportunities of social mining and big data analytical technologies. Our main idea is to insc作者: 知識 時間: 2025-3-28 15:25
ations, complete the tasks and upload their reports to the server. The challenge is to enable effective and efficient tasking as well as reporting in SC without disclosing the actual locations of workers (at least until they agree to perform a task) and the tasks themselves (at least to workers who 作者: chalice 時間: 2025-3-28 18:55 作者: 我沒有強(qiáng)迫 時間: 2025-3-28 23:41
Niklas Fiedler,Marc Bestmann,Norman Hendrichcommunicate, conduct business, and learn, colleges and universities across the country strive to provide engaging, current, and individualized learning environments using mobile applications that can be utilized on mobile devices such as tablets, iPhone, and Android and wearable technology to suppor作者: organic-matrix 時間: 2025-3-29 06:19 作者: 姑姑在炫耀 時間: 2025-3-29 10:03
Alexander Gabel,Tanja Heuer,Ina Schiering,Reinhard Gerndte gap has been diminishing. Secondly, the frequency of usage of mobile devices and the length for usage each time are different compared with learning on fixed computers. Thirdly, the cost of mobile network and quality of connection are different from Internet access via computer, which also limited作者: MOTIF 時間: 2025-3-29 12:03 作者: Genome 時間: 2025-3-29 18:46
Training a RoboCup Striker Agent via Transferred Reinforcement Learningrations than with an engineered reward. However, when the agent’s likelihood of success in a task is low, it may be necessary to reintroduce an engineered reward or to provide extended training and exploration using simpler tasks.作者: Misnomer 時間: 2025-3-29 19:49 作者: 迫擊炮 時間: 2025-3-30 01:21 作者: ethereal 時間: 2025-3-30 07:31
Mihai Polceanu,Fabrice Harrouet,Cédric Bucheitical will...·Pregnancy and parenting among runaway and homeless young women...·Estimating the appearance of the missing: forensic age progression in the search for missing persons..·The use of trace evidence 978-3-319-92883-8978-3-319-40199-7作者: CAB 時間: 2025-3-30 11:59 作者: Hippocampus 時間: 2025-3-30 13:06 作者: BURSA 時間: 2025-3-30 20:32
Marton Szemenyei,Vladimir Estivill-Castro students and researchers concentrating on electrical engineering and computer science within wireless technology. Industry professionals working in the areas of mobile ad hoc networks, communications engineeri978-1-4899-7932-2978-1-4419-6050-4作者: 清澈 時間: 2025-3-30 22:11 作者: 破譯 時間: 2025-3-31 03:27
Okan A??k,Binnur G?rer,H. Levent Ak?nty data in data warehouses, which this handbook illustrates. This has provided the means to collect, store and process mobility data of an unprecedented quantity, quality and timeliness. As ubiquitous computing978-3-030-07459-3978-3-319-98161-1作者: 清楚說話 時間: 2025-3-31 06:14 作者: 惡意 時間: 2025-3-31 12:03
RoboCup 2018: Robot World Cup XXII978-3-030-27544-0Series ISSN 0302-9743 Series E-ISSN 1611-3349
