2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol最新文献

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A Computational System for Trajectory Tracking and 3D Positioning of Multiple UAVs 多无人机轨迹跟踪与三维定位计算系统

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.22

Lucas Vago Santana, A. Brandão, M. Sarcinelli Filho, R. Carelli

引用次数: 8

Development of Distributed Control Architecture for Multi-robot Systems 多机器人系统分布式控制体系结构的研究

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.49

Rafael Guedes Lang, I. Nunes da Silva, R. Romero

{"title":"Development of Distributed Control Architecture for Multi-robot Systems","authors":"Rafael Guedes Lang, I. Nunes da Silva, R. Romero","doi":"10.1109/SBR.LARS.ROBOCONTROL.2014.49","DOIUrl":"https://doi.org/10.1109/SBR.LARS.ROBOCONTROL.2014.49","url":null,"abstract":"The execution of complex tasks by teams of robots has been widely investigated in the last decades, since many operations are too risky or difficult to be performed by humans or by a single robot. The complexity and variety of applications of mobile robotics make the coordination of teams a big problem, as several topologies of control systems, from simple single processes to large networks with distributed elements that are capable of switching function, may be necessary. Although simple solutions exist, more efficient approaches use distributed communication architectures and components abstraction layers. Available proposals provide many components and interfaces, complicating their understanding and operation. This paper presents a generic control architecture that provides the developer with a small amount of elements implemented safely and on high-performance libraries. The simplicity and modularity of the proposal allow implementation of features such as control of heterogeneous robots, data source and command destination transparency and platform and language independence. The ability to support with reliability, transparency and ease the development of various scenarios of autonomous mobile robotics make the proposed architecture a powerful and valuable tool in the design and operation of these systems.","PeriodicalId":264928,"journal":{"name":"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol","volume":"14 3 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126021882","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 4

Dynamic Player Modelling in Serious Games Applied to Rehabilitation Robotics 动态玩家建模在康复机器人中的应用

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol Pub Date : 2014-10-18 DOI: 10.1109/SBR.LARS.ROBOCONTROL.2014.41

Kleber O. Andrade, Guilherme Fernandes, G. Caurin, A. Siqueira, R. Romero, Rogerio L. De Pereira

{"title":"Dynamic Player Modelling in Serious Games Applied to Rehabilitation Robotics","authors":"Kleber O. Andrade, Guilherme Fernandes, G. Caurin, A. Siqueira, R. Romero, Rogerio L. De Pereira","doi":"10.1109/SBR.LARS.ROBOCONTROL.2014.41","DOIUrl":"https://doi.org/10.1109/SBR.LARS.ROBOCONTROL.2014.41","url":null,"abstract":"This article proposes a reinforcement learning approach to dynamically model the player skills in applications that integrate games and rehabilitation robotic. The approach aims to match the game difficulty to the player skills, keeping proper motivation (flow) during a rehabilitation process. The traditional rehabilitation process involves repetitive exercises. Robots and serious games provide new means to improve user motivation and commitment during treatment. Each person shows different skills when facing the challenges posed by computer games. Thus, the game difficulty level should be adjusted to each player skill level. The Q-Learning algorithm was adapted in this context to modify game parameters and to assess user skills based on a performance function. This function provides a path to an individual difficulty adjustment and consequently a tool to keep the user exercising. Experiments with thirty minutes duration are presented, involving four players, and the results obtained indicate the proposed approach is feasible for modeling the user behaviour getting to capture the adaptations and trends for each player according to the game difficulties.","PeriodicalId":264928,"journal":{"name":"2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol","volume":"22 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2014-10-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"121599282","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

引用次数: 20

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